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Publications from 2020 and before are not direct results of the SFI MediaFutures, but are key results from our team members working on related topics in MediaFutures.
2021 |
Deep Learning to Encourage Citizen Involvement in Local Journalism Journal Article Forthcoming Bjørnar Tessem; Lars Nyre; Michel dos Santos Mesquita; Paul Mulholland Futures of Journalism. Palgrave Macmillan. , Forthcoming. @article{dosMulholland2021, title = {Deep Learning to Encourage Citizen Involvement in Local Journalism}, author = {Bjørnar Tessem and Lars Nyre and Michel dos Santos Mesquita and Paul Mulholland}, editor = {In Ville Manninen et al.}, year = {2021}, date = {2021-12-31}, journal = {Futures of Journalism. Palgrave Macmillan. }, keywords = {New}, pubstate = {forthcoming}, tppubtype = {article} } |
| Towards Responsible Media Recommendation Journal Article Mehdi Elahi; Dietmar Jannach; Lars Skjærven; Erik Knudsen; Helle Sjøvaag; Kristian Tolonen; Øyvind Holmstad; Igor Pipkin; Eivind Throndsen; Agnes Stenbom; Eivind Fiskerud; Adrian Oesch; Loek Vredenberg; Christoph Trattner AI and Ethics , 2021. BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement | Links: @article{Elahi2021bb, title = {Towards Responsible Media Recommendation}, author = {Mehdi Elahi and Dietmar Jannach and Lars Skjærven and Erik Knudsen and Helle Sjøvaag and Kristian Tolonen and Øyvind Holmstad and Igor Pipkin and Eivind Throndsen and Agnes Stenbom and Eivind Fiskerud and Adrian Oesch and Loek Vredenberg and Christoph Trattner}, url = {https://mediafutures.no/elahi2021_article_towardsresponsiblemediarecomme-2/}, doi = {https://doi.org/10.1007/s43681-021-00107-7}, year = {2021}, date = {2021-11-02}, journal = {AI and Ethics }, keywords = {New, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } |
Investigating the Impact of Recommender Systems on User-based and Item-based Popularity Bias Journal Article Elahi, Mehdi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Sorush Saghari, Shiva Parsa Rad,; Marko Tkalčič. Information Processing & Management, 58 (5), 2021. BibTeX | Tags: WP2: User Modeling Personalization and Engagement @article{Elahi2021b, title = {Investigating the Impact of Recommender Systems on User-based and Item-based Popularity Bias}, author = {Elahi, Mehdi, Danial Khosh Kholgh, Mohammad Sina Kiarostami, Sorush Saghari, Shiva Parsa Rad, and Marko Tkalčič.}, year = {2021}, date = {2021-10-01}, journal = {Information Processing & Management}, volume = {58}, number = {5}, keywords = {WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } |
The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. Proceeding Forthcoming Alain Starke; Christoph Trattner; H. Bakken; M. Johannessen; V. Solberg Forthcoming. BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement @proceedings{Starke2021bb, title = {The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric.}, author = {Alain Starke and Christoph Trattner and H. Bakken and M. Johannessen and V. Solberg}, year = {2021}, date = {2021-09-27}, journal = {Workshop on Multi-Objective Recommender Systems (MORS) held at RecSys'21. }, keywords = {New, WP2: User Modeling Personalization and Engagement}, pubstate = {forthcoming}, tppubtype = {proceedings} } |
| Predicting Feature-based Similarity in the News Domain Using Human Judgments. Proceeding Forthcoming Alain Starke; Sebastian Øverhaug Larsen; Christoph Trattner. International Workshop on News Recommendation and Analytics (INRA 2021) held at RecSys'21.September, 2021, Amsterdam, NL. ACM, New York, NY, USA., Forthcoming. Abstract | BibTeX | Tags: human judgment, New, News, Recommender systems, similar-item retrieval, similarity, User Study | Links: @proceedings{Starke2021b, title = {Predicting Feature-based Similarity in the News Domain Using Human Judgments. }, author = {Alain Starke and Sebastian Øverhaug Larsen and Christoph Trattner.}, url = {https://www.christophtrattner.info/pubs/NewsRecSys2021.pdf https: //doi.org/10.1145/1122445.1122456}, year = {2021}, date = {2021-09-27}, journal = {9th International Workshop on News Recommendation and Analytics (INRA 2021) held at RecSys'21. 2021.}, publisher = {International Workshop on News Recommendation and Analytics (INRA 2021) held at RecSys'21.September, 2021, Amsterdam, NL. ACM, New York, NY, USA.}, abstract = {When reading an online news article, users are typically presented ‘more like this’ recommendations by news websites. In this study, we assessed different similarity functions for news item retrieval, by comparing them to human judgments of similarity. We asked 401 participants to assess the overall similarity of ten pairs of political news articles, which were compared to feature-specific similarity functions (e.g., based on body text or images). We found that users indicated to mostly use text-based features (e.g., title) for their similarity judgments, suggesting that body text similarity was the most representative for their judgment. Moreover, we modeled similarity judgments using different regression techniques. Using data from another study, we contrasted our results across retrieval domains, revealing that similarity functions in news are less representative of user judgments than those in movies and recipes.}, keywords = {human judgment, New, News, Recommender systems, similar-item retrieval, similarity, User Study}, pubstate = {forthcoming}, tppubtype = {proceedings} } When reading an online news article, users are typically presented ‘more like this’ recommendations by news websites. In this study, we assessed different similarity functions for news item retrieval, by comparing them to human judgments of similarity. We asked 401 participants to assess the overall similarity of ten pairs of political news articles, which were compared to feature-specific similarity functions (e.g., based on body text or images). We found that users indicated to mostly use text-based features (e.g., title) for their similarity judgments, suggesting that body text similarity was the most representative for their judgment. Moreover, we modeled similarity judgments using different regression techniques. Using data from another study, we contrasted our results across retrieval domains, revealing that similarity functions in news are less representative of user judgments than those in movies and recipes. |
| Recommending Videos in Cold Start With Automatic Visual Tags Proceeding Mehdi Elahi; Farshad B. Moghaddam; Reza Hosseini; Mohammad Hossein Rimaz; Nabil El Ioini; Marko Tkalcic; Christoph Trattner; Tammam Tillo 29th Conference on User Modeling, Adaptation and Personalization conference (UMAP 2021) Utrecht, the Netherlands, 2021. Abstract | BibTeX | Tags: Cold Start, New, Recommender systems, Visual features, Visual tags, WP2: User Modeling Personalization and Engagement | Links: @proceedings{Elahi2021, title = {Recommending Videos in Cold Start With Automatic Visual Tags}, author = {Mehdi Elahi and Farshad B. Moghaddam and Reza Hosseini and Mohammad Hossein Rimaz and Nabil El Ioini and Marko Tkalcic and Christoph Trattner and Tammam Tillo }, url = {https://www.researchgate.net/publication/351696161_Recommending_Videos_in_Cold_Start_With_Automatic_Visual_Tags }, doi = {10.1145/3450614.3461687}, year = {2021}, date = {2021-07-01}, address = {Utrecht, the Netherlands}, organization = {29th Conference on User Modeling, Adaptation and Personalization conference (UMAP 2021)}, abstract = {Preprint and dataset available! This paper addresses the so-called New Item problem in video Recommender Systems, as part of Cold Start. New item problem occurs when a new item is added to the system catalog, and the recommender system has no or little data describing that item. This could cause the system to fail to meaningfully recommend the new item to the users. We propose a novel technique that can generate cold start recommendation by utilizing automatic visual tags, i.e., tags that are automatically annotated by deeply analyzing the content of the videos and detecting faces, objects, and even celebrities within the videos. The automatic visual tags do not need any human involvement and have been shown to be very effective in representing the video content. In order to evaluate our proposed technique, we have performed a set of experiments using a large dataset of videos. The results have shown that the automatically extracted visual tags can be incorporated into the cold start recommendation process and achieve superior results compared to the recommendation based on human-annotated tags.}, keywords = {Cold Start, New, Recommender systems, Visual features, Visual tags, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {proceedings} } Preprint and dataset available! This paper addresses the so-called New Item problem in video Recommender Systems, as part of Cold Start. New item problem occurs when a new item is added to the system catalog, and the recommender system has no or little data describing that item. This could cause the system to fail to meaningfully recommend the new item to the users. We propose a novel technique that can generate cold start recommendation by utilizing automatic visual tags, i.e., tags that are automatically annotated by deeply analyzing the content of the videos and detecting faces, objects, and even celebrities within the videos. The automatic visual tags do not need any human involvement and have been shown to be very effective in representing the video content. In order to evaluate our proposed technique, we have performed a set of experiments using a large dataset of videos. The results have shown that the automatically extracted visual tags can be incorporated into the cold start recommendation process and achieve superior results compared to the recommendation based on human-annotated tags. |
| VXSlate: Exploring Combination of Head Movements and Mobile Touch for Large Virtual Display Interaction Proceeding Khanh-Duy Le; Tanh Quang Tran; Karol Chlasta; Krzysztof Krejtz; Morten Fjeld; Andreas Kunz Association for Computing Machinery, New York, NY, USA, 2021, ISBN: 978-1-4503-8476-6. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @proceedings{Kunz2021, title = {VXSlate: Exploring Combination of Head Movements and Mobile Touch for Large Virtual Display Interaction}, author = {Khanh-Duy Le and Tanh Quang Tran and Karol Chlasta and Krzysztof Krejtz and Morten Fjeld and Andreas Kunz}, doi = {https://doi.org/10.1145/3461778.3462076}, isbn = {978-1-4503-8476-6}, year = {2021}, date = {2021-06-28}, journal = {DIS '21: Designing Interactive Systems Conference 2021}, pages = {283–297}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {proceedings} } |
| Beyond Algorithmic Fairness in Recommender Systems Proceeding Mehdi Elahi; Himan Abdollahpouri; Masoud Mansoury; Helma Torkamaan Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0. BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement | Links: @proceedings{Torkamaan2021, title = {Beyond Algorithmic Fairness in Recommender Systems}, author = {Mehdi Elahi and Himan Abdollahpouri and Masoud Mansoury and Helma Torkamaan}, editor = {Judith Masthoff; Eelco Herder; Nava Tintarev; Marko Tkalčič}, doi = {https://doi.org/10.1145/3450614.3461685}, isbn = {978-1-4503-8366-0}, year = {2021}, date = {2021-06-21}, publisher = {Association for Computing Machinery}, address = {New York, NY United States}, keywords = {New, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {proceedings} } |
| Exploring the Effects of Natural Language Justifications in Food Recommender Systems Proceeding Cataldo Musto; Alain D. Starke; Christoph Trattner; Amon Rapp; Giovanni Semeraro Association for Computing Machinery, New York, NY United States, 2021, ISBN: 978-1-4503-8366-0. BibTeX | Tags: New, WP2: User Modeling Personalization and Engagement | Links: @proceedings{Semeraro2021, title = {Exploring the Effects of Natural Language Justifications in Food Recommender Systems}, author = {Cataldo Musto and Alain D. Starke and Christoph Trattner and Amon Rapp and Giovanni Semeraro }, editor = {Judith Masthoff; Eelco Herder; Nava Tintarev; Marko Tkalčič}, doi = {https://doi.org/10.1145/3450613.3456827}, isbn = {978-1-4503-8366-0}, year = {2021}, date = {2021-06-21}, booktitle = {UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization }, pages = {147–157}, publisher = {Association for Computing Machinery}, address = {New York, NY United States}, keywords = {New, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {proceedings} } |
| Conversational Futures: Emancipating Conversational Interactions for Futures Worth Wanting Conference Minha Lee; Renee Noortman; Cristina Zaga; Alain D. Starke; Gijs Huisman; Kristina Andersen (May 2021), 2021. Abstract | BibTeX | Tags: Conversational user interfaces, critical design, design fiction, futuring, speculative design | Links: @conference{Lee2021, title = {Conversational Futures: Emancipating Conversational Interactions for Futures Worth Wanting}, author = {Minha Lee and Renee Noortman and Cristina Zaga and Alain D. Starke and Gijs Huisman and Kristina Andersen}, url = {https://minha-lee.github.io/files/mlee_Conversational_Futures_CHI2021.pdf}, year = {2021}, date = {2021-05-13}, number = {May 2021}, pages = {1-13}, abstract = {We present a vision for conversational user interfaces (CUIs) asprobes forspeculating with, rather than as objects to speculateabout. Popular CUIs, e.g., Alexa, are changing the way we converse,narrate, and imagine the world(s) to come. Yet, current conversa-tional interactions normatively may promote non-desirable ends,delivering a restricted range of request-response interactions withsexist and digital colonialist tendencies. Our critical design ap-proach envisions alternatives by considering how future voices canreside in CUIs as enabling probes. We present novel explorationsthat illustrate the potential of CUIs as critical design material, bycritiquing present norms and conversing with imaginary species.As micro-level interventions, we show that conversationswithdi-verse futuresthroughCUIs can persuade us to critically shape ourdiscourse on macro-scale concerns of the present, e.g., sustainabil-ity. We reflect on how conversational interactions with pluralistic,imagined futures can contribute to howbeing humanstands tochange.}, keywords = {Conversational user interfaces, critical design, design fiction, futuring, speculative design}, pubstate = {published}, tppubtype = {conference} } We present a vision for conversational user interfaces (CUIs) asprobes forspeculating with, rather than as objects to speculateabout. Popular CUIs, e.g., Alexa, are changing the way we converse,narrate, and imagine the world(s) to come. Yet, current conversa-tional interactions normatively may promote non-desirable ends,delivering a restricted range of request-response interactions withsexist and digital colonialist tendencies. Our critical design ap-proach envisions alternatives by considering how future voices canreside in CUIs as enabling probes. We present novel explorationsthat illustrate the potential of CUIs as critical design material, bycritiquing present norms and conversing with imaginary species.As micro-level interventions, we show that conversationswithdi-verse futuresthroughCUIs can persuade us to critically shape ourdiscourse on macro-scale concerns of the present, e.g., sustainabil-ity. We reflect on how conversational interactions with pluralistic,imagined futures can contribute to howbeing humanstands tochange. |
| What Matters in Professional Drone Pilots’ Practice? An Interview Study to Understand the Complexity of Their Work and Inform Human-Drone Interaction Research Conference Sara Ljungblad; Yemao Man; Mehmet Aydın Baytaş; Mafalda Gamboa; Mohammad Obaid; Morten Fjeld (Article 159), Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21) Association for Computing Machinery, New York, NY, USA, 2021. Abstract | BibTeX | Tags: Drones, Interview study, Piloting, Pilots, Professionals, Quadcopters, WP4: Media Content Interaction and Accessibility | Links: @conference{Ljungblad2021, title = {What Matters in Professional Drone Pilots’ Practice? An Interview Study to Understand the Complexity of Their Work and Inform Human-Drone Interaction Research}, author = {Sara Ljungblad and Yemao Man and Mehmet Aydın Baytaş and Mafalda Gamboa and Mohammad Obaid and Morten Fjeld}, url = {https://dl.acm.org/doi/pdf/10.1145/3411764.3445737}, doi = {https://doi.org/10.1145/3411764.3445737}, year = {2021}, date = {2021-05-08}, number = {Article 159}, pages = {1-16}, publisher = {Association for Computing Machinery, New York, NY, USA}, organization = {Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21)}, abstract = {Human-drone interaction is a growing topic of interest within HCI research. Researchers propose many innovative concepts for drone applications, but much of this research does not incorporate knowledge on existing applications already adopted by professionals. This limits the validity of said research. To address this limitation, we present our findings from an in-depth interview study with 10 professional drone pilots. Our participants were armed with significant experience and qualifications – pertinent to both drone operations and a set of applications covering diverse industries. Our findings have resulted in design recommendations that should inform both ends and means of human-drone interaction research. These include, but are not limited to: safety-related protocols, insights from domain-specific use cases, and relevant practices outside of hands-on flight.}, keywords = {Drones, Interview study, Piloting, Pilots, Professionals, Quadcopters, WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {conference} } Human-drone interaction is a growing topic of interest within HCI research. Researchers propose many innovative concepts for drone applications, but much of this research does not incorporate knowledge on existing applications already adopted by professionals. This limits the validity of said research. To address this limitation, we present our findings from an in-depth interview study with 10 professional drone pilots. Our participants were armed with significant experience and qualifications – pertinent to both drone operations and a set of applications covering diverse industries. Our findings have resulted in design recommendations that should inform both ends and means of human-drone interaction research. These include, but are not limited to: safety-related protocols, insights from domain-specific use cases, and relevant practices outside of hands-on flight. |
| Nudging Healthy Choices in Food Search Through Visual Attractiveness Journal Article Alain D. Starke; Martijn C. Willemsen; Christoph Trattner (April 2021), pp. 1-18, 2021. Abstract | BibTeX | Tags: WP2: User Modeling Personalization and Engagement | Links: @article{Starke2021, title = {Nudging Healthy Choices in Food Search Through Visual Attractiveness}, author = {Alain D. Starke and Martijn C. Willemsen and Christoph Trattner}, url = {https://www.frontiersin.org/articles/10.3389/frai.2021.621743/full}, doi = {10.3389/frai.2021.621743}, year = {2021}, date = {2021-04-22}, number = {April 2021}, pages = {1-18}, abstract = {Recipe websites are becoming increasingly popular to support people in their home cooking. However, most of these websites prioritize popular recipes, which tend to be unhealthy. Drawing upon research on visual biases and nudges, this paper investigates whether healthy food choices can be supported in food search by depicting attractive images alongside recipes, as well as by re-ranking search results on health. After modelling the visual attractiveness of recipe images, we asked 239 users to search for specific online recipes and to select those they liked the most. Our analyses revealed that users tended to choose a healthier recipe if a visually attractive image was depicted alongside it, as well as if it was listed at the top of a list of search results. Even though less popular recipes were promoted this way, it did not come at the cost of a user’s level of satisfaction}, keywords = {WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } Recipe websites are becoming increasingly popular to support people in their home cooking. However, most of these websites prioritize popular recipes, which tend to be unhealthy. Drawing upon research on visual biases and nudges, this paper investigates whether healthy food choices can be supported in food search by depicting attractive images alongside recipes, as well as by re-ranking search results on health. After modelling the visual attractiveness of recipe images, we asked 239 users to search for specific online recipes and to select those they liked the most. Our analyses revealed that users tended to choose a healthier recipe if a visually attractive image was depicted alongside it, as well as if it was listed at the top of a list of search results. Even though less popular recipes were promoted this way, it did not come at the cost of a user’s level of satisfaction |
| How The Public Understands News Media Trust: An Open-ended Approach Journal Article Erik Knudsen; Stefan Dahlberg; Magnus H Iversen; Mikael P Johannesson; Silje Nygaard Journalism, (April 2021), pp. 1-17, 2021. Abstract | BibTeX | Tags: Bias, Credibility, ideology, open-ended survey question, structural topic model, trust in media, WP1: Understanding Media Experiences, WP2: User Modeling Personalization and Engagement | Links: @article{Knudsen2021, title = {How The Public Understands News Media Trust: An Open-ended Approach}, author = {Erik Knudsen and Stefan Dahlberg and Magnus H Iversen and Mikael P Johannesson and Silje Nygaard}, url = {https://journals.sagepub.com/doi/pdf/10.1177/14648849211005892}, doi = {10.1177/14648849211005892}, year = {2021}, date = {2021-03-31}, journal = {Journalism}, number = {April 2021}, pages = {1-17}, abstract = {Despite the central role that ordinary citizens play as ‘trustors’ (i.e. the actor that places trust) in the literature on news media trust, prior quantitative studies have paid little attention to how ordinary citizens understand and define news media trust. Here, trust tends to be studied from a researcher-defined – rather than an audience-defined – perspective. To address this gap, we investigate how the public describes news media trust in their own words by asking them directly. We analyse 1500 written responses collected through a Norwegian online probability-based survey, here using a semisupervised quantitative text analysis technique called structural topic modelling (STM). We find that citizens’ own understanding of news media trust can be categorised into four distinct topics that, in some instances, are comparable to academic and professional discourse. We show that citizens’ written descriptions of news media trust vary by many of the same variables that prior research has found to be important predictors of levels of trust. Respondents’ written descriptions of news media trust vary by education and satisfaction with democracy but not other known predictors of trust, such as ideological self-placement and political preferences.}, keywords = {Bias, Credibility, ideology, open-ended survey question, structural topic model, trust in media, WP1: Understanding Media Experiences, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } Despite the central role that ordinary citizens play as ‘trustors’ (i.e. the actor that places trust) in the literature on news media trust, prior quantitative studies have paid little attention to how ordinary citizens understand and define news media trust. Here, trust tends to be studied from a researcher-defined – rather than an audience-defined – perspective. To address this gap, we investigate how the public describes news media trust in their own words by asking them directly. We analyse 1500 written responses collected through a Norwegian online probability-based survey, here using a semisupervised quantitative text analysis technique called structural topic modelling (STM). We find that citizens’ own understanding of news media trust can be categorised into four distinct topics that, in some instances, are comparable to academic and professional discourse. We show that citizens’ written descriptions of news media trust vary by many of the same variables that prior research has found to be important predictors of levels of trust. Respondents’ written descriptions of news media trust vary by education and satisfaction with democracy but not other known predictors of trust, such as ideological self-placement and political preferences. |
| Automatiske nyhende Online Lars Nyre; Bjørnar Tessem Dag og Tid 2021, visited: 26.03.2021. BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @online{Tessem2021, title = {Automatiske nyhende}, author = {Lars Nyre and Bjørnar Tessem}, url = {https://www.dagogtid.no/feature/automatiske-nyhende-6.3.20626.2396ffd8e5}, year = {2021}, date = {2021-03-26}, urldate = {2021-03-26}, journal = {Dag og Tid}, number = {12}, organization = {Dag og Tid}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {online} } |
| Exploring Multi-List User Interfaces for Similar-Item Recommendations Conference Dietmar Jannach; Mathias Jesse; Michael Jugovac; Christoph Trattner 29th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP '21) 2021. Abstract | BibTeX | Tags: Recommender system, User Interface, User Study | Links: @conference{Jannach2021, title = {Exploring Multi-List User Interfaces for Similar-Item Recommendations}, author = {Dietmar Jannach and Mathias Jesse and Michael Jugovac and Christoph Trattner}, url = {https://mediafutures.no/conference_umap_2021-2/}, year = {2021}, date = {2021-03-26}, organization = {29th ACM International Conference on User Modeling, Adaptation and Personalization (UMAP '21)}, abstract = {On many e-commerce and media streaming sites, the user inter-face (UI) consists of multiple lists of item suggestions. The itemsin each list are usually chosen based on pre-defined strategies and,e.g., show movies of the same genre or category. Such interfacesare common in practice, but there is almost no academic researchregarding the optimal design and arrangement of such multi-listUIs for recommenders. In this paper, we report the results of anexploratory user study that examined the effects of various designalternatives on the decision-making behavior of users in the con-text of similar-item recommendations. Our investigations showed,among other aspects, that decision-making is slower and more de-manding with multi-list interfaces, but that users also explore moreoptions before making a decision. Regarding the selection of thealgorithm to retrieve similar items, our study furthermore revealsthe importance of considering social-based similarity measures.}, keywords = {Recommender system, User Interface, User Study}, pubstate = {published}, tppubtype = {conference} } On many e-commerce and media streaming sites, the user inter-face (UI) consists of multiple lists of item suggestions. The itemsin each list are usually chosen based on pre-defined strategies and,e.g., show movies of the same genre or category. Such interfacesare common in practice, but there is almost no academic researchregarding the optimal design and arrangement of such multi-listUIs for recommenders. In this paper, we report the results of anexploratory user study that examined the effects of various designalternatives on the decision-making behavior of users in the con-text of similar-item recommendations. Our investigations showed,among other aspects, that decision-making is slower and more de-manding with multi-list interfaces, but that users also explore moreoptions before making a decision. Regarding the selection of thealgorithm to retrieve similar items, our study furthermore revealsthe importance of considering social-based similarity measures. |
| VXSlate: Combining Head Movement and Mobile Touch for Large Virtual Display Interaction Conference Khanh-Duy Le; Tanh Quang Tran; Karol Chlasta; Krzysztof Krejtz; Morten Fjeld; Andreas Kunz 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE The Institute of Electrical and Electronics Engineers, Inc., 2021. Abstract | BibTeX | Tags: Human computer interaction, Human-centered computing, Interaction techniques, SFI MediaFutures, Virtual Reality, WP4: Media Content Interaction and Accessibility | Links: @conference{Le2021b, title = {VXSlate: Combining Head Movement and Mobile Touch for Large Virtual Display Interaction}, author = {Khanh-Duy Le and Tanh Quang Tran and Karol Chlasta and Krzysztof Krejtz and Morten Fjeld and Andreas Kunz}, url = {https://conferences.computer.org/vrpub/pdfs/VRW2021-2ANNoldm4A10Ml9f63uYC9/136700a528/136700a528.pdf https://www.youtube.com/watch?v=N8ZJlKWj4mk&ab_channel=DuyL%C3%AAKh%C3%A1nh}, doi = { 10.1109/VRW52623.2021.00146}, year = {2021}, date = {2021-02-12}, pages = {528-529}, publisher = {IEEE The Institute of Electrical and Electronics Engineers, Inc.}, organization = {2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).}, abstract = {Virtual Reality (VR) headsets can open opportunities for users to accomplish complex tasks on large virtual displays, using compact setups. However, interacting with large virtual displays using existing interaction techniques might cause fatigue, especially for precise manipulations, due to the lack of physical surfaces. We designed VXSlate, an interaction technique that uses a large virtual display, as an expansion of a tablet. VXSlate combines a user’s head movements, as tracked by the VR headset, and touch interaction on the tablet. The user’s head movements position both a virtual representation of the tablet and of the user’s hand on the large virtual display. The user’s multi-touch interactions perform finely-tuned content manipulations.}, keywords = {Human computer interaction, Human-centered computing, Interaction techniques, SFI MediaFutures, Virtual Reality, WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {conference} } Virtual Reality (VR) headsets can open opportunities for users to accomplish complex tasks on large virtual displays, using compact setups. However, interacting with large virtual displays using existing interaction techniques might cause fatigue, especially for precise manipulations, due to the lack of physical surfaces. We designed VXSlate, an interaction technique that uses a large virtual display, as an expansion of a tablet. VXSlate combines a user’s head movements, as tracked by the VR headset, and touch interaction on the tablet. The user’s head movements position both a virtual representation of the tablet and of the user’s hand on the large virtual display. The user’s multi-touch interactions perform finely-tuned content manipulations. |
| Framing Protest in Online News and Readers’ Comments: The Case of Serbian Protest “Against Dictatorship” Journal Article Jelena Kleut; Ana Milojevic International Journal of Communication, 15 (21), pp. 82-102, 2021, (Pre SFI). Abstract | BibTeX | Tags: framing, Online Media, polarized media system, protest paradigm, user comments, WP1: Understanding Media Experiences | Links: @article{Kleut2021, title = {Framing Protest in Online News and Readers’ Comments: The Case of Serbian Protest “Against Dictatorship”}, author = {Jelena Kleut and Ana Milojevic}, url = {https://www.researchgate.net/publication/348787747_Framing_Protest_in_Online_News_and_Readers\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'_Comments_The_Case_of_Serbian_Protest_Against_Dictatorship}, year = {2021}, date = {2021-01-01}, journal = {International Journal of Communication}, volume = {15}, number = {21}, pages = {82-102}, series = {Not connected to SFI MediaFutures}, abstract = {This research examines the "protest paradigm" in the digital news environment of a politically polarized media system by considering relations between news and online readers' comments about the Serbian protest Against Dictatorship, which was held in 2017. Applying content analysis to news and comments from two news websites, our study indicates the need to account for opposing framing of the protest (violence/peacefulness, de/legitimizing and un/democratic) in a polarized environment. The results show that the distribution of opposing frames is guided by the media relations with the government. Online readers' comments generally enhance this polarized pattern of frame distribution, with the exception of the performance frame, which remains prolific in the media, but absent from readers' comments.}, note = {Pre SFI}, keywords = {framing, Online Media, polarized media system, protest paradigm, user comments, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } This research examines the "protest paradigm" in the digital news environment of a politically polarized media system by considering relations between news and online readers' comments about the Serbian protest Against Dictatorship, which was held in 2017. Applying content analysis to news and comments from two news websites, our study indicates the need to account for opposing framing of the protest (violence/peacefulness, de/legitimizing and un/democratic) in a polarized environment. The results show that the distribution of opposing frames is guided by the media relations with the government. Online readers' comments generally enhance this polarized pattern of frame distribution, with the exception of the performance frame, which remains prolific in the media, but absent from readers' comments. |
2020 |
Folk theories of algorithms: Understanding digital irritation Journal Article Brita Ytre-Arne; Hallvard Moe Media, Culture & Society, 2020, (Pre SFI). BibTeX | Tags: WP1: Understanding Media Experiences @article{Arne2020, title = {Folk theories of algorithms: Understanding digital irritation}, author = {Brita Ytre-Arne and Hallvard Moe}, year = {2020}, date = {2020-12-31}, journal = {Media, Culture & Society}, series = {TEST}, note = {Pre SFI}, keywords = {WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } |
| Gender and sentiment, critics and authors: a dataset of Norwegian book reviews Journal Article Samia Touileb; Lilja Øvrelid; Erik Velldal Gender Bias in Natural Language Processing. Association for Computational Linguistics, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @article{Touileb2020, title = {Gender and sentiment, critics and authors: a dataset of Norwegian book reviews}, author = {Samia Touileb and Lilja Øvrelid and Erik Velldal}, url = {https://www.aclweb.org/anthology/2020.gebnlp-1.11.pdf}, year = {2020}, date = {2020-12-01}, journal = {Gender Bias in Natural Language Processing. Association for Computational Linguistics}, abstract = {Gender bias in models and datasets is widely studied in NLP. The focus has usually been on analysing how females and males express themselves, or how females and males are described. However, a less studied aspect is the combination of these two perspectives, how female and male describe the same or opposite gender. In this paper, we present a new gender annotated sentiment dataset of critics reviewing the works of female and male authors. We investigate if this newly annotated dataset contains differences in how the works of male and female authors are critiqued, in particular in terms of positive and negative sentiment. We also explore the differences in how this is done by male and female critics. We show that there are differences in how critics assess the works of authors of the same or opposite gender. For example, male critics rate crime novels written by females, and romantic and sentimental works written by males, more negatively.}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {article} } Gender bias in models and datasets is widely studied in NLP. The focus has usually been on analysing how females and males express themselves, or how females and males are described. However, a less studied aspect is the combination of these two perspectives, how female and male describe the same or opposite gender. In this paper, we present a new gender annotated sentiment dataset of critics reviewing the works of female and male authors. We investigate if this newly annotated dataset contains differences in how the works of male and female authors are critiqued, in particular in terms of positive and negative sentiment. We also explore the differences in how this is done by male and female critics. We show that there are differences in how critics assess the works of authors of the same or opposite gender. For example, male critics rate crime novels written by females, and romantic and sentimental works written by males, more negatively. |
| Experiments in Lifelog Organisation and Retrieval at NTCIR Book Chapter Cathal Gurrin; Hideo Joho; Frank Hopfgartner; Liting Zhou; Rami Albatal; Graham Healy; Duc-Tien Dang Nguyen Evaluating Information Retrieval and Access Tasks, Chapter 13, pp. 187-203, Springer, Singapore, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @inbook{Gurrin2020, title = {Experiments in Lifelog Organisation and Retrieval at NTCIR}, author = {Cathal Gurrin and Hideo Joho and Frank Hopfgartner and Liting Zhou and Rami Albatal and Graham Healy and Duc-Tien Dang Nguyen}, url = {https://www.researchgate.net/publication/344047066_Experiments_in_Lifelog_Organisation_and_Retrieval_at_NTCIR}, doi = {10.1007/978-981-15-5554-1_13}, year = {2020}, date = {2020-12-01}, booktitle = {Evaluating Information Retrieval and Access Tasks}, pages = {187-203}, publisher = {Springer}, address = {Singapore}, chapter = {13}, abstract = {Lifelogging can be described as the process by which individuals use various software and hardware devices to gather large archives of multimodal personal data from multiple sources and store them in a personal data archive, called a lifelog. The Lifelog task at NTCIR was a comparative benchmarking exercise with the aim of encouraging research into the organisation and retrieval of data from multimodal lifelogs. The Lifelog task ran for over 4 years from NTCIR-12 until NTCIR-14 (2015.02–2019.06); it supported participants to submit to five subtasks, each tackling a different challenge related to lifelog retrieval. In this chapter, a motivation is given for the Lifelog task and a review of progress since NTCIR-12 is presented. Finally, the lessons learned and challenges within the domain of lifelog retrieval are presented.}, note = {Pre SFI}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {inbook} } Lifelogging can be described as the process by which individuals use various software and hardware devices to gather large archives of multimodal personal data from multiple sources and store them in a personal data archive, called a lifelog. The Lifelog task at NTCIR was a comparative benchmarking exercise with the aim of encouraging research into the organisation and retrieval of data from multimodal lifelogs. The Lifelog task ran for over 4 years from NTCIR-12 until NTCIR-14 (2015.02–2019.06); it supported participants to submit to five subtasks, each tackling a different challenge related to lifelog retrieval. In this chapter, a motivation is given for the Lifelog task and a review of progress since NTCIR-12 is presented. Finally, the lessons learned and challenges within the domain of lifelog retrieval are presented. |
| A knowledge-graph platform for newsrooms Journal Article Arne Berven; Ole A. Christensen; Sindre Moldeklev; Andreas Lothe Opdahl; Kjetil A. Villanger Computers in Industry, 123 (103321), 2020, (Pre SFI). Abstract | BibTeX | Tags: Computational journalism, Journalistic knowledge platforms, Knowledge graphs, Machine learning (ML), Natural-language processing (NLP), Newsroom systems, Ontology, OWL, RDF, Semantic technologies, WP3: Media Content Production and Analysis | Links: @article{Berven2020, title = {A knowledge-graph platform for newsrooms}, author = {Arne Berven and Ole A. Christensen and Sindre Moldeklev and Andreas Lothe Opdahl and Kjetil A. Villanger }, url = {https://reader.elsevier.com/reader/sd/pii/S0166361520305558?token=F8A21A513C97BFF598C2755575B3C89174B3D404E2EDDD23EC37966A2754ACA1700011EBBCF52ADE2845ADBC12D40041}, doi = {https://doi.org/10.1016/j.compind.2020.103321}, year = {2020}, date = {2020-12-01}, journal = {Computers in Industry}, volume = {123}, number = {103321}, abstract = {Journalism is challenged by digitalisation and social media, resulting in lower subscription numbers and reduced advertising income. Information and communication techniques (ICT) offer new opportunities. Our research group is collaborating with a software developer of news production tools for the international market to explore how social, open, and other data sources can be leveraged for journalistic purposes. We have developed an architecture and prototype called News Hunter that uses knowledge graphs, natural-language processing (NLP), and machine learning (ML) together to support journalists. Our focus is on combining existing data sources and computation and storage techniques into a flexible architecture for news journalism. The paper presents News Hunter along with plans and possibilities for future work.}, note = {Pre SFI}, keywords = {Computational journalism, Journalistic knowledge platforms, Knowledge graphs, Machine learning (ML), Natural-language processing (NLP), Newsroom systems, Ontology, OWL, RDF, Semantic technologies, WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } Journalism is challenged by digitalisation and social media, resulting in lower subscription numbers and reduced advertising income. Information and communication techniques (ICT) offer new opportunities. Our research group is collaborating with a software developer of news production tools for the international market to explore how social, open, and other data sources can be leveraged for journalistic purposes. We have developed an architecture and prototype called News Hunter that uses knowledge graphs, natural-language processing (NLP), and machine learning (ML) together to support journalists. Our focus is on combining existing data sources and computation and storage techniques into a flexible architecture for news journalism. The paper presents News Hunter along with plans and possibilities for future work. |
| Improving sentiment analysis with multi-task learning of negation Journal Article J Barnes; Erik Velldal; Lilja Øvrelid 2020, (Pre SFI). BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @article{Barnes2020, title = {Improving sentiment analysis with multi-task learning of negation}, author = {J Barnes and Erik Velldal and Lilja Øvrelid}, url = {https://www.cambridge.org/core/journals/natural-language-engineering/article/abs/improving-sentiment-analysis-with-multitask-learning-of-negation/14EF2B829EC4B8EC29E7C0C5C77B95B0}, year = {2020}, date = {2020-11-11}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {article} } |
| Changing news use. Unchanged news experiences? Book Irene Costera Meijer; Tim Groot Kormelink Routledge, 2020, ISBN: 9780367485788, (Pre SFI). Abstract | BibTeX | Tags: WP1: Understanding Media Experiences | Links: @book{Meijer2020c, title = {Changing news use. Unchanged news experiences?}, author = {Irene Costera Meijer and Tim Groot Kormelink}, url = {https://www.routledge.com/Changing-News-Use-Unchanged-News-Experiences/Meijer-Kormelink/p/book/9780367485788}, isbn = {9780367485788}, year = {2020}, date = {2020-11-09}, publisher = {Routledge}, abstract = {Changing News Use pulls from empirical research to introduce and describe how changing news user patterns and journalism practices have been mutually disruptive, exploring what journalists and the news media can learn from these changes. Based on 15 years of audience research, the authors provide an in-depth description of what people do with news and how this has diversified over time, from reading, watching, and listening to a broader spectrum of user practices including checking, scrolling, tagging, and avoiding. By emphasizing people’s own experience of journalism, this book also investigates what two prominent audience measurements – clicking and spending time – mean from a user perspective. The book outlines ways to overcome the dilemma of providing what people apparently want (attentiongrabbing news features) and delivering what people apparently need (what journalists see as important information), suggesting alternative ways to investigate and become sensitive to the practices, preferences, and pleasures of audiences and discussing what these research findings might mean for everyday journalism practice. The book is a valuable and timely resource for academics and researchers interested in the fields of journalism studies, sociology, digital media, and communication.}, note = {Pre SFI}, keywords = {WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {book} } Changing News Use pulls from empirical research to introduce and describe how changing news user patterns and journalism practices have been mutually disruptive, exploring what journalists and the news media can learn from these changes. Based on 15 years of audience research, the authors provide an in-depth description of what people do with news and how this has diversified over time, from reading, watching, and listening to a broader spectrum of user practices including checking, scrolling, tagging, and avoiding. By emphasizing people’s own experience of journalism, this book also investigates what two prominent audience measurements – clicking and spending time – mean from a user perspective. The book outlines ways to overcome the dilemma of providing what people apparently want (attentiongrabbing news features) and delivering what people apparently need (what journalists see as important information), suggesting alternative ways to investigate and become sensitive to the practices, preferences, and pleasures of audiences and discussing what these research findings might mean for everyday journalism practice. The book is a valuable and timely resource for academics and researchers interested in the fields of journalism studies, sociology, digital media, and communication. |
| The complexity landscape of outcome determination in judgment aggregation Journal Article Ulle Endriss; Ronald de Haan; Jerôme Lang; Marija Slavkovik Journal of Artificial Intelligence Research, 69 , pp. 687–731, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP2: User Modeling Personalization and Engagement | Links: @article{Endriss2020, title = {The complexity landscape of outcome determination in judgment aggregation}, author = {Ulle Endriss and Ronald de Haan and Jerôme Lang and Marija Slavkovik }, url = {https://www.jair.org/index.php/jair/article/view/11970/26619}, doi = {10.1613/jair.1.11970}, year = {2020}, date = {2020-11-04}, journal = {Journal of Artificial Intelligence Research}, volume = {69}, pages = {687–731}, abstract = {We provide a comprehensive analysis of the computational complexity of the outcome determinationproblem for the most important aggregation rules proposed in the literature on logic-based judgmentaggregation. Judgment aggregation is a powerful and flexible framework for studying problems ofcollective decision making that has attracted interest in a range of disciplines, including Legal Theory,Philosophy, Economics, Political Science, and Artificial Intelligence. The problem of computing theoutcome for a given list of individual judgments to be aggregated into a single collective judgment isthe most fundamental algorithmic challenge arising in this context. Our analysis applies to severaldifferent variants of the basic framework of judgment aggregation that have been discussed in theliterature, as well as to a new framework that encompasses all existing such frameworks in terms ofexpressive power and representational succinctness.}, note = {Pre SFI}, keywords = {WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } We provide a comprehensive analysis of the computational complexity of the outcome determinationproblem for the most important aggregation rules proposed in the literature on logic-based judgmentaggregation. Judgment aggregation is a powerful and flexible framework for studying problems ofcollective decision making that has attracted interest in a range of disciplines, including Legal Theory,Philosophy, Economics, Political Science, and Artificial Intelligence. The problem of computing theoutcome for a given list of individual judgments to be aggregated into a single collective judgment isthe most fundamental algorithmic challenge arising in this context. Our analysis applies to severaldifferent variants of the basic framework of judgment aggregation that have been discussed in theliterature, as well as to a new framework that encompasses all existing such frameworks in terms ofexpressive power and representational succinctness. |
| AI-KG: an automatically generated knowledge graph of artificial intelligence Conference Danilo Dessì; Francesco Osborne; Diego Reforgiato Recupero; Davide Buscaldi; Enrico Motta; Harald Sack nternational Semantic Web Conference, Springer, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @conference{Dessì2020, title = {AI-KG: an automatically generated knowledge graph of artificial intelligence}, author = {Danilo Dessì and Francesco Osborne and Diego Reforgiato Recupero and Davide Buscaldi and Enrico Motta and Harald Sack}, url = {https://www.researchgate.net/publication/344991487_AI-KG_an_Automatically_Generated_Knowledge_Graph_of_Artificial_Intelligence}, year = {2020}, date = {2020-11-01}, booktitle = {nternational Semantic Web Conference}, pages = {127-143}, publisher = {Springer}, abstract = {Scientific knowledge has been traditionally disseminated and preserved through research articles published in journals, conference proceedings , and online archives. However, this article-centric paradigm has been often criticized for not allowing to automatically process, categorize , and reason on this knowledge. An alternative vision is to generate a semantically rich and interlinked description of the content of research publications. In this paper, we present the Artificial Intelligence Knowledge Graph (AI-KG), a large-scale automatically generated knowledge graph that describes 820K research entities. AI-KG includes about 14M RDF triples and 1.2M reified statements extracted from 333K research publications in the field of AI, and describes 5 types of entities (tasks, methods, metrics, materials, others) linked by 27 relations. AI-KG has been designed to support a variety of intelligent services for analyzing and making sense of research dynamics, supporting researchers in their daily job, and helping to inform decision-making in funding bodies and research policymakers. AI-KG has been generated by applying an automatic pipeline that extracts entities and relationships using three tools: DyGIE++, Stanford CoreNLP, and the CSO Classifier. It then integrates and filters the resulting triples using a combination of deep learning and semantic technologies in order to produce a high-quality knowledge graph. This pipeline was evaluated on a manually crafted gold standard, yielding competitive results. AI-KG is available under CC BY 4.0 and can be downloaded as a dump or queried via a SPARQL endpoint.}, note = {Pre SFI}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {conference} } Scientific knowledge has been traditionally disseminated and preserved through research articles published in journals, conference proceedings , and online archives. However, this article-centric paradigm has been often criticized for not allowing to automatically process, categorize , and reason on this knowledge. An alternative vision is to generate a semantically rich and interlinked description of the content of research publications. In this paper, we present the Artificial Intelligence Knowledge Graph (AI-KG), a large-scale automatically generated knowledge graph that describes 820K research entities. AI-KG includes about 14M RDF triples and 1.2M reified statements extracted from 333K research publications in the field of AI, and describes 5 types of entities (tasks, methods, metrics, materials, others) linked by 27 relations. AI-KG has been designed to support a variety of intelligent services for analyzing and making sense of research dynamics, supporting researchers in their daily job, and helping to inform decision-making in funding bodies and research policymakers. AI-KG has been generated by applying an automatic pipeline that extracts entities and relationships using three tools: DyGIE++, Stanford CoreNLP, and the CSO Classifier. It then integrates and filters the resulting triples using a combination of deep learning and semantic technologies in order to produce a high-quality knowledge graph. This pipeline was evaluated on a manually crafted gold standard, yielding competitive results. AI-KG is available under CC BY 4.0 and can be downloaded as a dump or queried via a SPARQL endpoint. |
| Operationalizing exposure diversity. Journal Article Hallvard Moe; Jan Fredrik Hovden; Kari Karppinen European Journal of Communication, pp. 1-2, 2020, (Pre SFI). Abstract | BibTeX | Tags: Exposure Diversity, Media Diversity, Media Policy, Media Repertoires, Survey, WP1: Understanding Media Experiences | Links: @article{Moe2020, title = {Operationalizing exposure diversity.}, author = {Hallvard Moe and Jan Fredrik Hovden and Kari Karppinen}, url = {https://journals.sagepub.com/doi/pdf/10.1177/0267323120966849}, doi = {10.1177/0267323120966849}, year = {2020}, date = {2020-10-29}, journal = {European Journal of Communication}, pages = {1-2}, abstract = {The concept of exposure diversity, the diversity of information that people actually access and use, has recently gained prominence in media policy debates. This aspect of media diversity, however, remains difficult to define, measure or implement in actual policy. In this article, we propose an empirical approach that operationalizes exposure diversity in terms of news and current affairs providers in the media repertoire of different social groups. This can be studied through cluster analysis of survey data on respondents’ combinations of use of different media providers and outlets. The article first discusses exposure diversity as a media policy aim. We then outline our proposal on how to take the debate a step further through empirical analysis of media repertoires, with an illustration of how such an analysis may be conducted using survey data from Norway.}, note = {Pre SFI}, keywords = {Exposure Diversity, Media Diversity, Media Policy, Media Repertoires, Survey, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } The concept of exposure diversity, the diversity of information that people actually access and use, has recently gained prominence in media policy debates. This aspect of media diversity, however, remains difficult to define, measure or implement in actual policy. In this article, we propose an empirical approach that operationalizes exposure diversity in terms of news and current affairs providers in the media repertoire of different social groups. This can be studied through cluster analysis of survey data on respondents’ combinations of use of different media providers and outlets. The article first discusses exposure diversity as a media policy aim. We then outline our proposal on how to take the debate a step further through empirical analysis of media repertoires, with an illustration of how such an analysis may be conducted using survey data from Norway. |
| Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines. Journal Article Naieme Hazrati; Mehdi Elahi Expert Systems, e12645 , pp. 1-20, 2020, (Pre SFI). Abstract | BibTeX | Tags: Cold Start, Multimedia, New Item, Recommender systems, Visually Aware, WP2: User Modeling Personalization and Engagement | Links: @article{Hazrati2020, title = { Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines.}, author = {Naieme Hazrati and Mehdi Elahi}, url = {https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.12645}, doi = {https://doi.org/10.1111/exsy.12645}, year = {2020}, date = {2020-10-19}, journal = {Expert Systems}, volume = {e12645}, pages = {1-20}, abstract = {Over the past years, the research of video recommender systems (RSs) has been mainly focussed on the development of novel algorithms. Although beneficial, still any algorithm may fail to recommend video items that the system has no form of data associated to them (New Item Cold Start). This problem occurs when a new item is added to the catalogue of the system and no data are available for that item. In content‐based RSs, the video items are typically represented by semantic attributes, when generating recommendations. These attributes require a group of experts or users for annotation, and still, the generated recommendations might not capture a complete picture of the users' preferences, for example, the visual tastes of users on video style. This article addresses this problem by proposing recommendation based on novel visual features that do not require human annotation and can represent visual aspects of video items. We have designed a novel evaluation methodology considering three realistic scenarios, that is, (a) extreme cold start, (b) moderate cold start and (c) warm‐start scenario. We have conducted a set of comprehensive experiments, and our results have shown the superior performance of recommendations based on visual features, in all of the evaluation scenarios.}, note = {Pre SFI}, keywords = {Cold Start, Multimedia, New Item, Recommender systems, Visually Aware, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } Over the past years, the research of video recommender systems (RSs) has been mainly focussed on the development of novel algorithms. Although beneficial, still any algorithm may fail to recommend video items that the system has no form of data associated to them (New Item Cold Start). This problem occurs when a new item is added to the catalogue of the system and no data are available for that item. In content‐based RSs, the video items are typically represented by semantic attributes, when generating recommendations. These attributes require a group of experts or users for annotation, and still, the generated recommendations might not capture a complete picture of the users' preferences, for example, the visual tastes of users on video style. This article addresses this problem by proposing recommendation based on novel visual features that do not require human annotation and can represent visual aspects of video items. We have designed a novel evaluation methodology considering three realistic scenarios, that is, (a) extreme cold start, (b) moderate cold start and (c) warm‐start scenario. We have conducted a set of comprehensive experiments, and our results have shown the superior performance of recommendations based on visual features, in all of the evaluation scenarios. |
| Truth be told: Fake news detection using user reactions on reddit Journal Article Vinay Setty; Erlend Rekve Proceedings of the 29th acm international conference on information knowledge management, pp. 3325–3328, 2020, (Pre SFI). Abstract | BibTeX | Tags: Deep neural networks, Fake news detection, Reddit comments, WP3: Media Content Production and Analysis | Links: @article{Setty2020, title = {Truth be told: Fake news detection using user reactions on reddit}, author = {Vinay Setty and Erlend Rekve}, url = {https://dl.acm.org/doi/pdf/10.1145/3340531.3417463}, doi = {https://doi.org/10.1145/3340531.3417463}, year = {2020}, date = {2020-10-01}, journal = {Proceedings of the 29th acm international conference on information knowledge management}, pages = {3325–3328}, abstract = {In this paper, we provide a large dataset for fake news detection using social media comments. The dataset consists of 12,597 claims (of which 63% are labelled as fake) from four different sources (Snopes, Poltifact, Emergent and Twitter). The novel part of the dataset is that it also includes over 662K social media discussion comments related to these claims from Reddit. We make this dataset public for the research community. In addition, for the task of fake news detection using social media comments, we provide a simple but strong baseline solution deep neural network model which beats several solutions in the literature.}, note = {Pre SFI}, keywords = {Deep neural networks, Fake news detection, Reddit comments, WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } In this paper, we provide a large dataset for fake news detection using social media comments. The dataset consists of 12,597 claims (of which 63% are labelled as fake) from four different sources (Snopes, Poltifact, Emergent and Twitter). The novel part of the dataset is that it also includes over 662K social media discussion comments related to these claims from Reddit. We make this dataset public for the research community. In addition, for the task of fake news detection using social media comments, we provide a simple but strong baseline solution deep neural network model which beats several solutions in the literature. |
| Temporal ambivalences in smartphone use: Conflicting flows, conflicting responsibilities. Journal Article Brita Ytre-Arne; Trine Syvertsen; Hallvard Moe; Faltin Karlsen New Media and Society, 22 (9), pp. 1715–1732, 2020, (Pre SFI). Abstract | BibTeX | Tags: Ambivalence, Flow, Media Use, Responsibilization, Smartphone, Time Management, WP1: Understanding Media Experiences | Links: @article{Arne2020b, title = {Temporal ambivalences in smartphone use: Conflicting flows, conflicting responsibilities.}, author = {Brita Ytre-Arne and Trine Syvertsen and Hallvard Moe and Faltin Karlsen }, url = {https://journals.sagepub.com/doi/pdf/10.1177/1461444820913561}, doi = {10.1177/1461444820913561}, year = {2020}, date = {2020-09-03}, journal = {New Media and Society}, volume = {22}, number = {9}, pages = {1715–1732}, abstract = {This article explores implications of the central position of the smartphone in an age of constant connectivity. Based on a qualitative study of 50 informants, we ask how users experience and handle temporal ambivalences in everyday smartphone use, drawing on the concepts flow and responsibilization to conceptualize central dimensions of such ambivalences. The notion of conflicting flows illuminates how brief checking cycles expand at the expense of other activities, resulting in a temporal conflict experienced by users. Responsibilization points to how users take individual responsibility for managing such conflicting flows, and to how this practice is difficult and conflict-ridden. We conclude that while individual time management is often framed as the solution to temporal conflicts, such attempts at regulating smartphone use appear inadequate. Our conceptualization of temporal ambivalence offers a more nuanced understanding of why this is the case.}, note = {Pre SFI}, keywords = {Ambivalence, Flow, Media Use, Responsibilization, Smartphone, Time Management, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } This article explores implications of the central position of the smartphone in an age of constant connectivity. Based on a qualitative study of 50 informants, we ask how users experience and handle temporal ambivalences in everyday smartphone use, drawing on the concepts flow and responsibilization to conceptualize central dimensions of such ambivalences. The notion of conflicting flows illuminates how brief checking cycles expand at the expense of other activities, resulting in a temporal conflict experienced by users. Responsibilization points to how users take individual responsibility for managing such conflicting flows, and to how this practice is difficult and conflict-ridden. We conclude that while individual time management is often framed as the solution to temporal conflicts, such attempts at regulating smartphone use appear inadequate. Our conceptualization of temporal ambivalence offers a more nuanced understanding of why this is the case. |
| Changing News Use. Unchanged news experiences? Book Irene Costera Meijer; Tim Groot Kormelink 1st, Routledge, London & New York, 2020, ISBN: 9781003041719, (Pre SFI). BibTeX | Tags: Changing News Use, Journalism, News, WP1: Understanding Media Experiences | Links: @book{Meijer2020, title = {Changing News Use. Unchanged news experiences?}, author = {Irene Costera Meijer and Tim Groot Kormelink }, url = {https://www.researchgate.net/publication/345018999_Changing_News_Use_Unchanged_News_Experiences}, doi = {10.4324/9781003041719}, isbn = {9781003041719}, year = {2020}, date = {2020-09-01}, publisher = {Routledge}, address = {London & New York}, edition = {1st}, note = {Pre SFI}, keywords = {Changing News Use, Journalism, News, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {book} } |
| Audiences’ Communicative Agency in a Datafied Age: Interpretative, Relational and Increasingly Prospective. Journal Article Brita Ytre-Arne; Ranjana Das Communication Theory, 0 (C), pp. 1-19, 2020, ISSN: 1050–3293, (Pre SFI). Abstract | BibTeX | Tags: Agency, Audiences, Datafication, Everyday, Interpretation, Prospection, Reception Theory, Sociological Theory, Structure, Technology, WP1: Understanding Media Experiences | Links: @article{Arne2020c, title = {Audiences’ Communicative Agency in a Datafied Age: Interpretative, Relational and Increasingly Prospective.}, author = {Brita Ytre-Arne and Ranjana Das}, url = {https://watermark.silverchair.com/qtaa018.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAtAwggLMBgkqhkiG9w0BBwagggK9MIICuQIBADCCArIGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQM-cFhCl8ql-5yUsJoAgEQgIICg0JoOiOVaCIdOstGjiiVpYuTKzqRfP7Hb1L0JBUB7TMpOQ5ya4v7afXtJvvTasi126A8qHSxK2rDZfeWFajUD34XXIbXVfimKI-a7-dZNYNjF6xn9p5OzsBABo10PuVtS5bHE4B3RSURKpRgGKXIyem7o-HzoTgKWKxJjRuOEVJNX4XjUC9-D9C7f8n3BItvYkMJqiX8NRSmuM3MI1MmhCjjtrUEOaURe-mCNKonobiYtkdoywElD9W7SG0ZQg9nigzcJmEH36Rbf3jzaGMMQhOsTv0NCAFwm52wxxeqt1jlSX6GmjMPmwTTmhZNGPE-sD0j3VZEfzqZNb5RqOBv2tih20z3kz2mBAU_25OlUThhSQ_G9-dNMVfVsuKMbo6TnS8EUotKdlWDmmenYUmQdHFx6KHA2mFn3j0AYyqz9Kolc2HeSSu4JJhZMZGHIUkNVC5c-GPPCzpO4D5pCT3pNw2d4mK037ziOWPOKcr29Ak2sJlQ05rcn4NovqBWrNIeRQRuhlVyNI7nr7bIXXFMwogvhFttUt3IxH68cYD6nNQ1Gbtl2BwygLseOwrwZA_6irZcqueVtAwqzMchowERFcKR8gMPKyDiDGPfbbKMNvqeHeIvemaQSLnfLM7Lfj9-OYtxOgF6CxZTrbOcCTUVpnvwTIZO1Oq2amSRBEb2lCORDiegqrxTitstUZ141VXW5bId94vwLuZqPoYA58nNcF0_2WzAOB69owF5B7D_ofDUTA2tBAhuvcvwKpAB5t_bhLDscuVfVGcYi5azd06oQ9PJWPV5EigzleuyHR57_cVyPpYkXe-PimZJ6iZzEhnmYZE0v9A_9F2LYm9dwfEryznsCog}, doi = {10.1093/ct/qtaa018}, issn = {1050–3293}, year = {2020}, date = {2020-08-24}, journal = {Communication Theory}, volume = {0}, number = {C}, pages = {1-19}, abstract = {This article develops a conceptualization of audience agency in the face of datafication. We consider how people, as audiences and users of media and technologies, face transforming communicative conditions, and how these conditions challenge the power potentials of audiences in processes of communication—that is, their communicative agency. To develop our conceptualization, we unpack the concept of audiences’ communicative agency by examining its foundations in communication scholarship, in reception theory and sociology, arguing that agency is understood as interpretative and relational, and applied to make important normative assessments. We further draw on emerging scholarship on encounters with data in the everyday to discuss how audience agency is now challenged by datafication, arguing that communicative agency is increasingly prospective in a datafied age. Thereby, we provide a theoretical conceptualization for further analysis of audiences in transforming communicative conditions.}, note = {Pre SFI}, keywords = {Agency, Audiences, Datafication, Everyday, Interpretation, Prospection, Reception Theory, Sociological Theory, Structure, Technology, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } This article develops a conceptualization of audience agency in the face of datafication. We consider how people, as audiences and users of media and technologies, face transforming communicative conditions, and how these conditions challenge the power potentials of audiences in processes of communication—that is, their communicative agency. To develop our conceptualization, we unpack the concept of audiences’ communicative agency by examining its foundations in communication scholarship, in reception theory and sociology, arguing that agency is understood as interpretative and relational, and applied to make important normative assessments. We further draw on emerging scholarship on encounters with data in the everyday to discuss how audience agency is now challenged by datafication, arguing that communicative agency is increasingly prospective in a datafied age. Thereby, we provide a theoretical conceptualization for further analysis of audiences in transforming communicative conditions. |
| Sentiment analysis is not solved! Assessing and probing sentiment classification Proceeding J Barnes; Lilja Øvrelid; Erik Velldal 2020, (Pre SFI). BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @proceedings{Barnes2020b, title = {Sentiment analysis is not solved! Assessing and probing sentiment classification}, author = {J Barnes and Lilja Øvrelid and Erik Velldal}, url = {https://www.aclweb.org/anthology/W19-4802/}, year = {2020}, date = {2020-08-01}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {proceedings} } |
| Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations Conference Krisztian Balog; Filip Radlinski Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), New York, 2020, (Pre SFI). Abstract | BibTeX | Tags: HCI design and evaluation methods, Human-centered computing, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement | Links: @conference{Balog2020, title = {Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations}, author = {Krisztian Balog and Filip Radlinski}, url = {https://dl.acm.org/doi/pdf/10.1145/3397271.3401032}, doi = {https://doi.org/10.1145/3397271.3401032}, year = {2020}, date = {2020-07-01}, booktitle = {Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20)}, pages = {329–338}, address = {New York}, abstract = {Explanations have a large effect on how people respond to recommendations. However, there are many possible intentions a system may have in generating explanations for a given recommendation -from increasing transparency, to enabling a faster decision, to persuading the recipient. As a good explanation for one goal may not be good for others, we address the questions of (1) how to robustly measure if an explanation meets a given goal and (2) how the different goals interact with each other. Specifically, this paper presents a first proposal of how to measure the quality of explanations along seven common goal dimensions catalogued in the literature. We find that the seven goals are not independent, but rather exhibit strong structure. Proposing two novel explanation evaluation designs, we identify challenges in evaluation, and provide more efficient measurement approaches of explanation quality.}, note = {Pre SFI}, keywords = {HCI design and evaluation methods, Human-centered computing, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {conference} } Explanations have a large effect on how people respond to recommendations. However, there are many possible intentions a system may have in generating explanations for a given recommendation -from increasing transparency, to enabling a faster decision, to persuading the recipient. As a good explanation for one goal may not be good for others, we address the questions of (1) how to robustly measure if an explanation meets a given goal and (2) how the different goals interact with each other. Specifically, this paper presents a first proposal of how to measure the quality of explanations along seven common goal dimensions catalogued in the literature. We find that the seven goals are not independent, but rather exhibit strong structure. Proposing two novel explanation evaluation designs, we identify challenges in evaluation, and provide more efficient measurement approaches of explanation quality. |
| Analysis and design of computational news angles Journal Article Enrico Motta; Enrico Daga; Andreas Lothe Opdahl; Bjørnar Tessem IEEE Access, 8 , pp. 120613-120626, 2020, (Pre SFI). Abstract | BibTeX | Tags: Computational journalism, Data schema, Knowledge representation, News angles, Ontology, Reasoning components., WP3: Media Content Production and Analysis | Links: @article{Motta2020, title = {Analysis and design of computational news angles}, author = {Enrico Motta and Enrico Daga and Andreas Lothe Opdahl and Bjørnar Tessem}, url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9127417}, doi = {10.1109/ACCESS.2020.3005513}, year = {2020}, date = {2020-06-29}, journal = {IEEE Access}, volume = {8}, pages = {120613-120626}, abstract = {A key skill for a journalist is the ability to assess the newsworthiness of an event or situation. To this purpose journalists often rely on news angles, conceptual criteria that are used both i) to assess whether something is newsworthy and also ii) to shape the structure of the resulting news item. As journalism becomes increasingly computer-supported, and more and more sources of potentially newsworthy data become available in real time, it makes sense to try and equip journalistic software tools with operational versions of news angles, so that, when searching this vast data space, these tools can both identify effectively the events most relevant to the target audience, and also link them to appropriate news angles. In this paper we analyse the notion of news angle and, in particular, we i) introduce a formal framework and data schema for representing news angles and related concepts and ii) carry out a preliminary analysis and characterization of a number of commonly used news angles, both in terms of our formal model and also in terms of the computational reasoning capabilities that are needed to apply them effectively to real-world scenarios. This study provides a stepping stone towards our ultimate goal of realizing a solution capable of exploiting a library of news angles to identify potentially newsworthy events in a large journalistic data space.}, note = {Pre SFI}, keywords = {Computational journalism, Data schema, Knowledge representation, News angles, Ontology, Reasoning components., WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } A key skill for a journalist is the ability to assess the newsworthiness of an event or situation. To this purpose journalists often rely on news angles, conceptual criteria that are used both i) to assess whether something is newsworthy and also ii) to shape the structure of the resulting news item. As journalism becomes increasingly computer-supported, and more and more sources of potentially newsworthy data become available in real time, it makes sense to try and equip journalistic software tools with operational versions of news angles, so that, when searching this vast data space, these tools can both identify effectively the events most relevant to the target audience, and also link them to appropriate news angles. In this paper we analyse the notion of news angle and, in particular, we i) introduce a formal framework and data schema for representing news angles and related concepts and ii) carry out a preliminary analysis and characterization of a number of commonly used news angles, both in terms of our formal model and also in terms of the computational reasoning capabilities that are needed to apply them effectively to real-world scenarios. This study provides a stepping stone towards our ultimate goal of realizing a solution capable of exploiting a library of news angles to identify potentially newsworthy events in a large journalistic data space. |
| Circumvention by design - dark patterns in cookie consents for online news outlets Conference Than Htut Soe; Oda Elise Nordberg; Frode Guribye; Marija Slavkovik Proceedings of the 11th Nordic Conference on Human-Computer Interaction, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP2: User Modeling Personalization and Engagement | Links: @conference{Soe2020, title = {Circumvention by design - dark patterns in cookie consents for online news outlets}, author = {Than Htut Soe and Oda Elise Nordberg and Frode Guribye and Marija Slavkovik}, url = {https://dl.acm.org/doi/pdf/10.1145/3419249.3420132}, doi = {10.1145/3419249.3420132}, year = {2020}, date = {2020-06-24}, booktitle = {Proceedings of the 11th Nordic Conference on Human-Computer Interaction}, abstract = {To ensure that users of online services understand what data are collected and how they are used in algorithmic decision-making, the European Union's General Data Protection Regulation (GDPR) specifies informed consent as a minimal requirement. For online news outlets consent is commonly elicited through interface design elements in the form of a pop-up. We have manually analyzed 300 data collection consent notices from news outlets that are built to ensure compliance with GDPR. The analysis uncovered a variety of strategies or dark patterns that circumvent the intent of GDPR by design. We further study the presence and variety of these dark patterns in these "cookie consents" and use our observations to specify the concept of dark pattern in the context of consent elicitation.}, note = {Pre SFI}, keywords = {WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {conference} } To ensure that users of online services understand what data are collected and how they are used in algorithmic decision-making, the European Union's General Data Protection Regulation (GDPR) specifies informed consent as a minimal requirement. For online news outlets consent is commonly elicited through interface design elements in the form of a pop-up. We have manually analyzed 300 data collection consent notices from news outlets that are built to ensure compliance with GDPR. The analysis uncovered a variety of strategies or dark patterns that circumvent the intent of GDPR by design. We further study the presence and variety of these dark patterns in these "cookie consents" and use our observations to specify the concept of dark pattern in the context of consent elicitation. |
| A Systematic Review and Taxonomy of Explanations in Decision Support and Recommender Systems Journal Article Ingrid Nunes; Dietmar Jannach User-Modeling and User-Adapted Interaction, 27 (3-5), pp. 393-444, 2020, (Pre SFI). Abstract | BibTeX | Tags: Artificial Intelligence, Decision Support System, Expert System, Explanation, Knowledge-based system, Machine Learning, Recommender systems, Systematic review, Trust, WP2: User Modeling Personalization and Engagement | Links: @article{Nunes2020, title = {A Systematic Review and Taxonomy of Explanations in Decision Support and Recommender Systems}, author = {Ingrid Nunes and Dietmar Jannach}, url = {https://arxiv.org/pdf/2006.08672.pdf}, doi = {10.1007/s11257-017-9195-0}, year = {2020}, date = {2020-06-15}, journal = {User-Modeling and User-Adapted Interaction}, volume = {27}, number = {3-5}, pages = {393-444}, abstract = {With the recent advances in the field of artificial intelligence, an increasing number of decision-making tasks are delegated to software systems. A key requirement for the success and adoption of such systems is that users must trust system choices or even fully automated decisions. To achieve this, explanation facilities have been widely investigated as a means of establishing trust in these systems since the early years of expert systems. With today's increasingly sophisticated machine learning algorithms, new challenges in the context of explanations, accountability, and trust towards such systems constantly arise. In this work, we systematically review the literature on explanations in advice-giving systems. This is a family of systems that includes recommender systems, which is one of the most successful classes of advice-giving software in practice. We investigate the purposes of explanations as well as how they are generated, presented to users, and evaluated. As a result, we derive a novel comprehensive taxonomy of aspects to be considered when designing explanation facilities for current and future decision support systems. The taxonomy includes a variety of different facets, such as explanation objective, responsiveness, content and presentation. Moreover, we identified several challenges that remain unaddressed so far, for example related to fine-grained issues associated with the presentation of explanations and how explanation facilities are evaluated.}, note = {Pre SFI}, keywords = {Artificial Intelligence, Decision Support System, Expert System, Explanation, Knowledge-based system, Machine Learning, Recommender systems, Systematic review, Trust, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } With the recent advances in the field of artificial intelligence, an increasing number of decision-making tasks are delegated to software systems. A key requirement for the success and adoption of such systems is that users must trust system choices or even fully automated decisions. To achieve this, explanation facilities have been widely investigated as a means of establishing trust in these systems since the early years of expert systems. With today's increasingly sophisticated machine learning algorithms, new challenges in the context of explanations, accountability, and trust towards such systems constantly arise. In this work, we systematically review the literature on explanations in advice-giving systems. This is a family of systems that includes recommender systems, which is one of the most successful classes of advice-giving software in practice. We investigate the purposes of explanations as well as how they are generated, presented to users, and evaluated. As a result, we derive a novel comprehensive taxonomy of aspects to be considered when designing explanation facilities for current and future decision support systems. The taxonomy includes a variety of different facets, such as explanation objective, responsiveness, content and presentation. Moreover, we identified several challenges that remain unaddressed so far, for example related to fine-grained issues associated with the presentation of explanations and how explanation facilities are evaluated. |
| Unpacking Editorial Agreements in Collaborative Video Production Conference Pavel Okopnyi; Oskar Juhlin; Frode Guribye IMX '20: ACM International Conference on Interactive Media Experiences, New York, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @conference{Okopnyi2020, title = {Unpacking Editorial Agreements in Collaborative Video Production}, author = {Pavel Okopnyi and Oskar Juhlin and Frode Guribye}, url = {https://www.researchgate.net/publication/342251635_Unpacking_Editorial_Agreements_in_Collaborative_Video_Production}, doi = {https://doi.org/10.1145/3391614.3393652}, year = {2020}, date = {2020-06-01}, booktitle = {IMX '20: ACM International Conference on Interactive Media Experiences}, pages = {117–126}, address = {New York}, abstract = {Video production is a collaborative process involving creative, artistic and technical elements that require a multitude of specialised skill sets. This open-ended work is often marked by uncertainty and interpretive flexibility in terms of what the product is and should be. At the same time, most current video production tools are designed for single users. There is a growing interest, both in industry and academia, to design features that support key collaborative processes in editing, such as commenting on videos. We add to current research by unpacking specific forms of collaboration, in particular the social mechanisms and strategies employed to reduce interpretive flexibility and uncertainty in achieving agreements between editors and other collaborators. The findings contribute to the emerging design interest by identifying general design paths for how to support collaboration in video editing through scaffolding, iconic referencing, and suggestive editing.}, note = {Pre SFI}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {conference} } Video production is a collaborative process involving creative, artistic and technical elements that require a multitude of specialised skill sets. This open-ended work is often marked by uncertainty and interpretive flexibility in terms of what the product is and should be. At the same time, most current video production tools are designed for single users. There is a growing interest, both in industry and academia, to design features that support key collaborative processes in editing, such as commenting on videos. We add to current research by unpacking specific forms of collaboration, in particular the social mechanisms and strategies employed to reduce interpretive flexibility and uncertainty in achieving agreements between editors and other collaborators. The findings contribute to the emerging design interest by identifying general design paths for how to support collaboration in video editing through scaffolding, iconic referencing, and suggestive editing. |
| Ontologies for finding journalistic angles Journal Article Andreas Lothe Opdahl; Bjørnar Tessem Software and Systems Modeling, pp. 1-17, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @article{Ophdal2020, title = {Ontologies for finding journalistic angles}, author = {Andreas Lothe Opdahl and Bjørnar Tessem}, url = {https://www.researchgate.net/publication/342132642_Ontologies_for_finding_journalistic_angles}, doi = {10.1007/s10270-020-00801-w}, year = {2020}, date = {2020-06-01}, journal = {Software and Systems Modeling}, pages = {1-17}, abstract = {Journalism relies more and more on information and communication technology (ICT). ICT-based journalistic knowledge platforms continuously harvest potentially news-relevant information from the Internet and make it useful for journalists. Because information about the same event is available from different sources and formats vary widely, knowledge graphs are emerging as a preferred technology for integrating, enriching, and preparing information for journalistic use. The paper explores how journalistic knowledge graphs can be augmented with support for news angles, which can help journalists to detect newsworthy events and make them interesting for the intended audience. We argue that finding newsworthy angles on news-related information is an important example of a topical problem in information science: that of detecting interesting events and situations in big data sets and presenting those events and situations in interesting ways}, note = {Pre SFI}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } Journalism relies more and more on information and communication technology (ICT). ICT-based journalistic knowledge platforms continuously harvest potentially news-relevant information from the Internet and make it useful for journalists. Because information about the same event is available from different sources and formats vary widely, knowledge graphs are emerging as a preferred technology for integrating, enriching, and preparing information for journalistic use. The paper explores how journalistic knowledge graphs can be augmented with support for news angles, which can help journalists to detect newsworthy events and make them interesting for the intended audience. We argue that finding newsworthy angles on news-related information is an important example of a topical problem in information science: that of detecting interesting events and situations in big data sets and presenting those events and situations in interesting ways |
| Brenda: Browser extension for fake news detection Journal Article Bjarte Botnevik; Eirik Sakariassen; Vinay Setty Proceedings of the 43rd international acm sigir conference on research and development in information retrieval, pp. 2117–2120, 2020, (Pre SFI). Abstract | BibTeX | Tags: Fake news detection, Hierarchical attention, Neural networks, WP3: Media Content Production and Analysis | Links: @article{Botnevik2020, title = {Brenda: Browser extension for fake news detection}, author = {Bjarte Botnevik and Eirik Sakariassen and Vinay Setty}, url = {https://arxiv.org/pdf/2005.13270.pdf}, doi = {10.1145/3397271.3401396}, year = {2020}, date = {2020-05-27}, journal = {Proceedings of the 43rd international acm sigir conference on research and development in information retrieval}, pages = { 2117–2120}, publisher = {Association for Computing Machinery}, abstract = {Misinformation such as fake news has drawn a lot of attention in recent years. It has serious consequences on society, politics and economy. This has lead to a rise of manually fact-checking websites such as Snopes and Politifact. However, the scale of misinformation limits their ability for verification. In this demonstration, we propose BRENDA a browser extension which can be used to automate the entire process of credibility assessments of false claims. Behind the scenes BRENDA uses a tested deep neural network architecture to automatically identify fact check worthy claims and classifies as well as presents the result along with evidence to the user. Since BRENDA is a browser extension, it facilities fast automated fact checking for the end user without having to leave the Webpage.}, note = {Pre SFI}, keywords = {Fake news detection, Hierarchical attention, Neural networks, WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } Misinformation such as fake news has drawn a lot of attention in recent years. It has serious consequences on society, politics and economy. This has lead to a rise of manually fact-checking websites such as Snopes and Politifact. However, the scale of misinformation limits their ability for verification. In this demonstration, we propose BRENDA a browser extension which can be used to automate the entire process of credibility assessments of false claims. Behind the scenes BRENDA uses a tested deep neural network architecture to automatically identify fact check worthy claims and classifies as well as presents the result along with evidence to the user. Since BRENDA is a browser extension, it facilities fast automated fact checking for the end user without having to leave the Webpage. |
| Strategic and Organisational fit in Corporate News Markets: A Principal-agent Approach to Studying Newspaper Mergers Journal Article Helle Sjøvaag; Thomas Owren; Turid Borgen Journalism Practice, pp. 1-18, 2020, (Pre SFI). Abstract | BibTeX | Tags: Agency Theory, Editor in chief, Local journalism, Media ownership, Mergers and acqusitions, News markets, News organisations, Newspaper chains, WP2: User Modeling Personalization and Engagement | Links: @article{Sjøvaag2020, title = {Strategic and Organisational fit in Corporate News Markets: A Principal-agent Approach to Studying Newspaper Mergers}, author = {Helle Sjøvaag and Thomas Owren and Turid Borgen}, url = {https://www.tandfonline.com/doi/epub/10.1080/17512786.2020.1772097?needAccess=true}, doi = {https://doi.org/10.1080/17512786.2020.1772097}, year = {2020}, date = {2020-05-20}, journal = {Journalism Practice}, pages = {1-18}, abstract = {This article analyses strategic and organisational fit in corporate newspaper mergers in the context of the digitalisation of local newspaper markets. Using the 2019 acquisition of Nordsjø Media by Amedia in Norway as case, we analyse how eight editors-in-chief perceive the process of incorporating small, low-frequency, print-oriented monopolistic newspapers into one of Scandinavia’s largest newspaper chains. The semi-structured interviews were analysed in light of perceived strategic and organisational fit in a principal-agent theoretical framework, the aim of which is to shed light on corporate ownership effects in consolidated newspaper markets. The analysis reveals the precarity of independent ownership in digitising news markets, to which corporatisation emerges as a necessary and welcomed solution. We find the strategic fit as perceived by editors to be tied to technological resources and scale economics, while organisational fit is hampered by the speed and pressure of corporatisation processes. While these results largely support findings from previous acquisition studies in the news industries, the contribution of this analysis lies primarily with the necessity of scale required by the technological transformation that forces independent newspapers to submit to larger chain operations and how it influences considerations of fit in disruptive digital news markets.}, note = {Pre SFI}, keywords = {Agency Theory, Editor in chief, Local journalism, Media ownership, Mergers and acqusitions, News markets, News organisations, Newspaper chains, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } This article analyses strategic and organisational fit in corporate newspaper mergers in the context of the digitalisation of local newspaper markets. Using the 2019 acquisition of Nordsjø Media by Amedia in Norway as case, we analyse how eight editors-in-chief perceive the process of incorporating small, low-frequency, print-oriented monopolistic newspapers into one of Scandinavia’s largest newspaper chains. The semi-structured interviews were analysed in light of perceived strategic and organisational fit in a principal-agent theoretical framework, the aim of which is to shed light on corporate ownership effects in consolidated newspaper markets. The analysis reveals the precarity of independent ownership in digitising news markets, to which corporatisation emerges as a necessary and welcomed solution. We find the strategic fit as perceived by editors to be tied to technological resources and scale economics, while organisational fit is hampered by the speed and pressure of corporatisation processes. While these results largely support findings from previous acquisition studies in the news industries, the contribution of this analysis lies primarily with the necessity of scale required by the technological transformation that forces independent newspapers to submit to larger chain operations and how it influences considerations of fit in disruptive digital news markets. |
| Identifying Sentiments in Algerian Code-switched User-generated Comments Conference Wafia Adouane; Samia Touileb; Jean-Philippe Bernardy 2020, (Pre SFI). Abstract | BibTeX | Tags: Algerian Arabic, code-switching, sentiment analysis, under-resourced colloquial languages, user-generated data, WP5: Norwegian Language Technologies | Links: @conference{Adouane2020, title = {Identifying Sentiments in Algerian Code-switched User-generated Comments}, author = {Wafia Adouane and Samia Touileb and Jean-Philippe Bernardy}, url = {https://www.aclweb.org/anthology/2020.lrec-1.328.pdf}, year = {2020}, date = {2020-05-06}, journal = {Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)}, pages = {2698–2705}, abstract = {We present in this paper our work on Algerian language, an under-resourced North African colloquial Arabic variety, for which we built a comparably large corpus of more than 36,000 code-switched user-generated comments annotated for sentiments. We opted for this data domain because Algerian is a colloquial language with no existing freely available corpora. Moreover, we compiled sentiment lexicons of positive and negative unigrams and bigrams reflecting the code-switches present in the language. We compare the performance of four models on the task of identifying sentiments, and the results indicate that a CNN model trained end-to-end fits better our unedited code-switched and unbalanced data across the predefined sentiment classes. Additionally, injecting the lexicons as background knowledge to the model boosts its performance on the minority class with a gain of 10.54 points on the F-score. The results of our experiments can be used as a baseline for future research for Algerian sentiment analysis. }, note = {Pre SFI}, keywords = {Algerian Arabic, code-switching, sentiment analysis, under-resourced colloquial languages, user-generated data, WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {conference} } We present in this paper our work on Algerian language, an under-resourced North African colloquial Arabic variety, for which we built a comparably large corpus of more than 36,000 code-switched user-generated comments annotated for sentiments. We opted for this data domain because Algerian is a colloquial language with no existing freely available corpora. Moreover, we compiled sentiment lexicons of positive and negative unigrams and bigrams reflecting the code-switches present in the language. We compare the performance of four models on the task of identifying sentiments, and the results indicate that a CNN model trained end-to-end fits better our unedited code-switched and unbalanced data across the predefined sentiment classes. Additionally, injecting the lexicons as background knowledge to the model boosts its performance on the minority class with a gain of 10.54 points on the F-score. The results of our experiments can be used as a baseline for future research for Algerian sentiment analysis. |
| Methods for datafication, datafication of methods: Introduction to the Special Issue. Journal Article Stine Lomborg; Lina Dencik; Hallvard Moe European Journal of Communication, 35 (3), pp. 203-212, 2020, (Pre SFI). Abstract | BibTeX | Tags: Datafication, Media and Communication Research, Methods, WP1: Understanding Media Experiences | Links: @article{Lomborg2020, title = {Methods for datafication, datafication of methods: Introduction to the Special Issue.}, author = {Stine Lomborg and Lina Dencik and Hallvard Moe }, url = {https://journals.sagepub.com/doi/pdf/10.1177/0267323120922045}, doi = {10.1177/0267323120922045 Article information }, year = {2020}, date = {2020-05-05}, journal = {European Journal of Communication}, volume = {35}, number = {3}, pages = {203-212}, abstract = {Digital media enable processes of datafication: users' online activities leave digital traces that are transformed into data points in databases, kept by service providers and other private and public organisations, and repurposed for commercial exploitation, business innovation, surveillance -- and research. Increasingly, this also extends to sensors and recognition technologies that turn homes and cities, as well as our own bodies, into data points to be collected and analysed So-called ‘traditional’ media industries, too, including public service broadcasting, have been datafied, tracking and profiling audiences, algorithmically processing data for greater personalisation as a way to compete with new players and streaming services. Datafication both raises new research questions and brings about new avenues, and an array of tools, for empirical research. This special issue is dedicated to exploring these, linking them to broader historical trajectories of social science methodologies as well as to central concerns and perspectives in media and communication research. As such, this special issue grapples with approaches to empirical research that interlink questions of methods and tools with epistemology and practice. It discusses the datafication of methods, as well as methods for studying datafication. With this we hope to enable reflection of what research questions media and communication scholars should ask of datafication, and how new and existing methods enable us to answer them.}, note = {Pre SFI}, keywords = {Datafication, Media and Communication Research, Methods, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } Digital media enable processes of datafication: users' online activities leave digital traces that are transformed into data points in databases, kept by service providers and other private and public organisations, and repurposed for commercial exploitation, business innovation, surveillance -- and research. Increasingly, this also extends to sensors and recognition technologies that turn homes and cities, as well as our own bodies, into data points to be collected and analysed So-called ‘traditional’ media industries, too, including public service broadcasting, have been datafied, tracking and profiling audiences, algorithmically processing data for greater personalisation as a way to compete with new players and streaming services. Datafication both raises new research questions and brings about new avenues, and an array of tools, for empirical research. This special issue is dedicated to exploring these, linking them to broader historical trajectories of social science methodologies as well as to central concerns and perspectives in media and communication research. As such, this special issue grapples with approaches to empirical research that interlink questions of methods and tools with epistemology and practice. It discusses the datafication of methods, as well as methods for studying datafication. With this we hope to enable reflection of what research questions media and communication scholars should ask of datafication, and how new and existing methods enable us to answer them. |
| Interactive Visualizations in INESS Book Chapter P Meurer; V Rosén; Koenraad De Smedt Butt, M; Hautli-Janisz, A; (Eds.), Lyding V (Ed.): 2020, (Pre SFI). BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @inbook{Meurer2020, title = {Interactive Visualizations in INESS}, author = {P Meurer and V Rosén and Koenraad De Smedt}, editor = {M. Butt and A. Hautli-Janisz and V. Lyding (Eds.)}, url = {https://web.stanford.edu/group/cslipublications/cslipublications/site/9781684000333.shtml}, year = {2020}, date = {2020-05-01}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {inbook} } |
| NorNE: Annotating Named Entities for Norwegian Proceeding F Jørgensen; T Aasmoe; ASR Husevåg; Lilja Øvrelid; Erik Velldal (Ed.) 2020, (Pre SFI). BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @proceedings{Jørgensen2020, title = {NorNE: Annotating Named Entities for Norwegian}, editor = {F Jørgensen and T Aasmoe and ASR Husevåg and Lilja Øvrelid and Erik Velldal}, url = {https://oda.oslomet.no/handle/10642/8830}, year = {2020}, date = {2020-05-01}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {proceedings} } |
| A Fine-Grained Sentiment Dataset for Norwegian Proceeding Lilja Øvrelid; P Mæhlum; J Barnes; Erik Velldal 2020, (Pre SFI). BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @proceedings{Øvrelid2020, title = {A Fine-Grained Sentiment Dataset for Norwegian}, author = {Lilja Øvrelid and P Mæhlum and J Barnes and Erik Velldal}, url = {https://www.aclweb.org/anthology/2020.lrec-1.618/}, year = {2020}, date = {2020-05-01}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {proceedings} } |
| Named Entity Recognition without Labelled Data: A Weak Supervision Approach Journal Article Pierre Lison; Aliaksandr Hubin; Jeremy Barnes; Samia Touileb Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp. 1518–1533, 2020, (Pre SFI). Abstract | BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @article{Lison2020, title = {Named Entity Recognition without Labelled Data: A Weak Supervision Approach}, author = {Pierre Lison and Aliaksandr Hubin and Jeremy Barnes and Samia Touileb}, url = {https://arxiv.org/pdf/2004.14723.pdf}, year = {2020}, date = {2020-04-30}, journal = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics}, pages = {1518–1533}, abstract = {Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data is available, transfer learning techniques can be used to adapt existing NER models to the target domain. But what should one do when there is no hand-labelled data for the target domain? This paper presents a simple but powerful approach to learn NER models in the absence of labelled data through weak supervision. The approach relies on a broad spectrum of labelling functions to automatically annotate texts from the target domain. These annotations are then merged together using a hidden Markov model which captures the varying accuracies and confusions of the labelling functions. A sequence labelling model can finally be trained on the basis of this unified annotation. We evaluate the approach on two English datasets (CoNLL 2003 and news articles from Reuters and Bloomberg) and demonstrate an improvement of about 7 percentage points in entity-level F1 scores compared to an out-of-domain neural NER model.}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {article} } Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data is available, transfer learning techniques can be used to adapt existing NER models to the target domain. But what should one do when there is no hand-labelled data for the target domain? This paper presents a simple but powerful approach to learn NER models in the absence of labelled data through weak supervision. The approach relies on a broad spectrum of labelling functions to automatically annotate texts from the target domain. These annotations are then merged together using a hidden Markov model which captures the varying accuracies and confusions of the labelling functions. A sequence labelling model can finally be trained on the basis of this unified annotation. We evaluate the approach on two English datasets (CoNLL 2003 and news articles from Reuters and Bloomberg) and demonstrate an improvement of about 7 percentage points in entity-level F1 scores compared to an out-of-domain neural NER model. |
| Deliberative systems theory and citizens’ use of online media: testing a critical theory of democracy on a high achiever. Journal Article Cathrine Holst; Hallvard Moe Political Studies, pp. 1-18, 2020, (Pre SFI). Abstract | BibTeX | Tags: Deliberative Democracy, Experts, Non-ideal theory, Online Media, Public Sphere, WP1: Understanding Media Experiences | Links: @article{Holst2020, title = {Deliberative systems theory and citizens’ use of online media: testing a critical theory of democracy on a high achiever.}, author = {Cathrine Holst and Hallvard Moe }, url = {https://journals.sagepub.com/doi/pdf/10.1177/0032321719890809}, doi = {10.1177/0032321719890809 Article information }, year = {2020}, date = {2020-04-06}, journal = {Political Studies}, pages = {1-18}, abstract = {Deliberative systems theory is a promising candidate for a normative theory of democracy that combines ideal requirements with feasibility. Yet, recent theoretical elaborations and studies of citizens’ online media use inspired by the theory suffer from an incomplete account of the public sphere’s epistemic function, too rough interpretations of participatory levels, shortcomings in the understanding of online media, and a context-insensitive notion of policy reform. Addressing these weaknesses, the article argues for a refined version of deliberative systems theory. Particular attention is given to feasibility considerations. Reviewing studies of online democracy in Norway, the article shows that the theoretical critique has practical significance. It is also argued that the amended version of the deliberative systems approach produces a diagnosis of Norwegian online democracy more in line with reasonable expectations to a high achiever. This is taken as a prima facie indicator of feasibility.}, note = {Pre SFI}, keywords = {Deliberative Democracy, Experts, Non-ideal theory, Online Media, Public Sphere, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } Deliberative systems theory is a promising candidate for a normative theory of democracy that combines ideal requirements with feasibility. Yet, recent theoretical elaborations and studies of citizens’ online media use inspired by the theory suffer from an incomplete account of the public sphere’s epistemic function, too rough interpretations of participatory levels, shortcomings in the understanding of online media, and a context-insensitive notion of policy reform. Addressing these weaknesses, the article argues for a refined version of deliberative systems theory. Particular attention is given to feasibility considerations. Reviewing studies of online democracy in Norway, the article shows that the theoretical critique has practical significance. It is also argued that the amended version of the deliberative systems approach produces a diagnosis of Norwegian online democracy more in line with reasonable expectations to a high achiever. This is taken as a prima facie indicator of feasibility. |
| “We in the Mojo Community” – Exploring a Global Network of Mobile Journalists Journal Article Anja Salzmann; Frode Guribye; Astrid Gynnild Journalism Practice, pp. 1-18, 2020, (Pre SFI). Abstract | BibTeX | Tags: community of practice, digital culture, mobile content creation, Mobile journalism, mobile technologies, mojo, mojo community, smartphone reporting, WP4: Media Content Interaction and Accessibility | Links: @article{Salzmann2020, title = {“We in the Mojo Community” – Exploring a Global Network of Mobile Journalists}, author = {Anja Salzmann and Frode Guribye and Astrid Gynnild}, url = {https://www.tandfonline.com/doi/epub/10.1080/17512786.2020.1742772?needAccess=true}, doi = {https://doi.org/10.1080/17512786.2020.1742772}, year = {2020}, date = {2020-04-03}, journal = {Journalism Practice}, pages = {1-18}, abstract = {Mobile journalism is a fast-growing area of journalistic innovation that requires new skills and work practices. Thus, a major challenge for journalists is learning not only how to keep up with new gadgets but how to advance and develop a mojo mindset to pursue their interests and solidify future work options. This paper investigates a globally pioneering network of mojo journalism, the Mojo Community, that consists of journalists and practitioners dedicated to creating multimedia content using mobile technologies. The study is based on empirical data from interviews with and the observation of the participants of the community over a two-year period. The analysis draws on Wenger’s concept of “communities of practice” to explore the domain, structure, and role of this communal formation for innovation and change in journalistic practices. The community’s core group is comprised of journalists mainly affiliated with legacy broadcast organizations and with a particular interest in and extensive knowledge of mobile technologies. The participants perceive their engagement with the community as a way of meeting the challenges of organizational reluctance to change, fast-evolving technological advancements, and uncertain job prospects.}, note = {Pre SFI}, keywords = {community of practice, digital culture, mobile content creation, Mobile journalism, mobile technologies, mojo, mojo community, smartphone reporting, WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {article} } Mobile journalism is a fast-growing area of journalistic innovation that requires new skills and work practices. Thus, a major challenge for journalists is learning not only how to keep up with new gadgets but how to advance and develop a mojo mindset to pursue their interests and solidify future work options. This paper investigates a globally pioneering network of mojo journalism, the Mojo Community, that consists of journalists and practitioners dedicated to creating multimedia content using mobile technologies. The study is based on empirical data from interviews with and the observation of the participants of the community over a two-year period. The analysis draws on Wenger’s concept of “communities of practice” to explore the domain, structure, and role of this communal formation for innovation and change in journalistic practices. The community’s core group is comprised of journalists mainly affiliated with legacy broadcast organizations and with a particular interest in and extensive knowledge of mobile technologies. The participants perceive their engagement with the community as a way of meeting the challenges of organizational reluctance to change, fast-evolving technological advancements, and uncertain job prospects. |
| Learn with Haptics: Improving Vocabulary Recall with Free-form Digital Annotation on Touchscreen Mobiles Journal Article Morten Fjeld; Smitha Sheshadri; Shendong Zhao; Yang Cheng CHI 2020 Paper, pp. 1-13, 2020, (Pre SFI). Abstract | BibTeX | Tags: Haptics for Learning, Intersensory reinforced learning, Mobile Vocabulary Learning, Motoric Engagement, Multimodal Learning, WP4: Media Content Interaction and Accessibility | Links: @article{Fjeld2020, title = {Learn with Haptics: Improving Vocabulary Recall with Free-form Digital Annotation on Touchscreen Mobiles}, author = {Morten Fjeld and Smitha Sheshadri and Shendong Zhao and Yang Cheng}, url = {https://dl.acm.org/doi/pdf/10.1145/3313831.3376272 https://www.youtube.com/watch?v=WY_T0fK5gCQ&ab_channel=ACMSIGCHI}, year = {2020}, date = {2020-04-01}, journal = {CHI 2020 Paper}, pages = {1-13}, abstract = {Mobile vocabulary learning interfaces typically present material only in auditory and visual channels, underutilizing the haptic modality. We explored haptic-integrated learning by adding free-form digital annotation to mobile vocabulary learning interfaces. Through a series of pilot studies, we identified three design factors: annotation mode, presentation sequence, and vibrotactile feedback, that influence recall in haptic-integrated vocabulary interfaces. These factors were then evaluated in a within-subject comparative study using a digital flashcard interface as baseline. Results using a 84-item vocabulary showed that the 'whole word' annotation mode is highly effective, yielding a 24.21% increase in immediate recall scores and a 30.36% increase in the 7-day delayed scores. Effects of presentation sequence and vibrotactile feedback were more transient; they affected the results of immediate tests, but not the delayed tests. We discuss the implications of these factors for designing future mobile learning applications.}, note = {Pre SFI}, keywords = {Haptics for Learning, Intersensory reinforced learning, Mobile Vocabulary Learning, Motoric Engagement, Multimodal Learning, WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {article} } Mobile vocabulary learning interfaces typically present material only in auditory and visual channels, underutilizing the haptic modality. We explored haptic-integrated learning by adding free-form digital annotation to mobile vocabulary learning interfaces. Through a series of pilot studies, we identified three design factors: annotation mode, presentation sequence, and vibrotactile feedback, that influence recall in haptic-integrated vocabulary interfaces. These factors were then evaluated in a within-subject comparative study using a digital flashcard interface as baseline. Results using a 84-item vocabulary showed that the 'whole word' annotation mode is highly effective, yielding a 24.21% increase in immediate recall scores and a 30.36% increase in the 7-day delayed scores. Effects of presentation sequence and vibrotactile feedback were more transient; they affected the results of immediate tests, but not the delayed tests. We discuss the implications of these factors for designing future mobile learning applications. |
| FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units Journal Article Koenraad de Smedt; D Koureas; P Wittenberg 2020, (Pre SFI). BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @article{deSmedt2020, title = {FAIR Digital Objects for Science: From Data Pieces to Actionable Knowledge Units}, author = {Koenraad de Smedt and D Koureas and P Wittenberg}, url = {https://ideas.repec.org/a/gam/jpubli/v8y2020i2p21-d344422.html}, year = {2020}, date = {2020-04-01}, note = {Pre SFI}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {article} } |