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The publications below are key publications produced by our consortium members prior to the SFI. Future SFI publications will also be made available here and labeled accordingly.
2019 |
Eivind Flobak; Jo Dugstad Wake; Joakim Vindenes; Smiti Kahlon; T. Nordgreen; Frode Guribye Participatory Design of VR Scenarios for Exposure Therapy Conference Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), (Paper 569), New York, 2019. Abstract | BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @conference{Flobak2019, title = {Participatory Design of VR Scenarios for Exposure Therapy}, author = {Eivind Flobak and Jo Dugstad Wake and Joakim Vindenes and Smiti Kahlon and T. Nordgreen and Frode Guribye}, url = {https://www.researchgate.net/publication/330205387_Participatory_Design_of_VR_Scenarios_for_Exposure_Therapy}, doi = {10.1145/3290605.3300799 }, year = {2019}, date = {2019-05-01}, booktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19)}, number = {Paper 569}, address = {New York}, abstract = {Virtual reality (VR) applications for exposure therapy predominantly use computer-generated imagery to create controlled environments in which users can be exposed to their fears. Creating 3D animations, however, is demanding and time-consuming. This paper presents a participatory approach for prototyping VR scenarios that are enabled by 360° video and grounded in lived experiences. We organized a participa-tory workshop with adolescents to prototype such scenarios, consisting of iterative phases of ideation, storyboarding, live-action plays recorded by a 360° camera, and group evaluation. Through an analysis of the participants' interactions, we outline how they worked to design prototypes that depict situations relevant to those with a fear of public speaking. Our analysis also explores how participants used their experiences and refections as resources for design. Six clinical psychologists evaluated the prototypes from the workshop and concluded they were viable therapeutic tools, emphasizing the immer-sive, realistic experience they presented. We argue that our approach makes the design of VR scenarios more accessible.}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {conference} } Virtual reality (VR) applications for exposure therapy predominantly use computer-generated imagery to create controlled environments in which users can be exposed to their fears. Creating 3D animations, however, is demanding and time-consuming. This paper presents a participatory approach for prototyping VR scenarios that are enabled by 360° video and grounded in lived experiences. We organized a participa-tory workshop with adolescents to prototype such scenarios, consisting of iterative phases of ideation, storyboarding, live-action plays recorded by a 360° camera, and group evaluation. Through an analysis of the participants' interactions, we outline how they worked to design prototypes that depict situations relevant to those with a fear of public speaking. Our analysis also explores how participants used their experiences and refections as resources for design. Six clinical psychologists evaluated the prototypes from the workshop and concluded they were viable therapeutic tools, emphasizing the immer-sive, realistic experience they presented. We argue that our approach makes the design of VR scenarios more accessible. |
Helle Sjøvaag Journalism between the state and the market Book Routledge, New York, 2019, ISBN: 9781138543348. Abstract | BibTeX | Tags: Journalism, Market, WP2: User Modeling Personalization and Engagement | Links: @book{Sjøvaag2019, title = {Journalism between the state and the market}, author = {Helle Sjøvaag}, url = {https://www.researchgate.net/publication/332449932_Journalism_Between_the_State_and_the_Market}, isbn = {9781138543348}, year = {2019}, date = {2019-04-24}, publisher = {Routledge}, address = {New York}, abstract = {Using the Nordic media model as an empirical backdrop, Journalism Between the State and the Market defines and analyzes journalism’s fundamental problem: its shifting location between the state and the market. This book examines how this distance is decreasing as journalism steps closer to both the market (algorithmically monetizing audiences) and the state (lobbying governments for subsidies and attacking public service broadcasting). The book analyzes journalism’s negotiated position between the market and the state in the age of disruptions, offering a theoretical foundation that seeks to account for the structural conditions of journalism in the digital age. For scholars, graduates and students in journalism, news sociology and media and communication studies, Journalism Between the State and the Market provides a theoretical perspective that can be used as a valuable tool when studying and observing the current developments in journalism.}, keywords = {Journalism, Market, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {book} } Using the Nordic media model as an empirical backdrop, Journalism Between the State and the Market defines and analyzes journalism’s fundamental problem: its shifting location between the state and the market. This book examines how this distance is decreasing as journalism steps closer to both the market (algorithmically monetizing audiences) and the state (lobbying governments for subsidies and attacking public service broadcasting). The book analyzes journalism’s negotiated position between the market and the state in the age of disruptions, offering a theoretical foundation that seeks to account for the structural conditions of journalism in the digital age. For scholars, graduates and students in journalism, news sociology and media and communication studies, Journalism Between the State and the Market provides a theoretical perspective that can be used as a valuable tool when studying and observing the current developments in journalism. |
Beishui Liao; Marija Slavkovik; Leendert van der Torre Building Jiminy Cricket: An architecture for moral agreements among stakeholders Conference Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019. Abstract | BibTeX | Tags: Artificial Intelligence, WP2: User Modeling Personalization and Engagement | Links: @conference{Liao2019, title = {Building Jiminy Cricket: An architecture for moral agreements among stakeholders}, author = {Beishui Liao and Marija Slavkovik and Leendert van der Torre}, url = {https://arxiv.org/pdf/1812.04741.pdf}, year = {2019}, date = {2019-03-07}, booktitle = {Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society}, pages = {147–153}, abstract = {An autonomous system is constructed by a manufacturer, operates in a society subject to norms and laws, and is interacting with end-users. We address the challenge of how the moral values and views of all stakeholders can be integrated and reflected in the moral behaviour of the autonomous system. We propose an artificial moral agent architecture that uses techniques from normative systems and formal argumentation to reach moral agreements among stakeholders. We show how our architecture can be used not only for ethical practical reasoning and collaborative decision-making, but also for the explanation of such moral behavior.}, keywords = {Artificial Intelligence, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {conference} } An autonomous system is constructed by a manufacturer, operates in a society subject to norms and laws, and is interacting with end-users. We address the challenge of how the moral values and views of all stakeholders can be integrated and reflected in the moral behaviour of the autonomous system. We propose an artificial moral agent architecture that uses techniques from normative systems and formal argumentation to reach moral agreements among stakeholders. We show how our architecture can be used not only for ethical practical reasoning and collaborative decision-making, but also for the explanation of such moral behavior. |
2018 |
Helle Sjøvaag; Truls André Pedersen; Thomas Owren Is public service broadcasting a threat to commercial media? Journal Article Media, Culture & Society, 46 (1), pp. 808-827, 2018. Abstract | BibTeX | Tags: Commercial media, Content analysis, Latent Dirichlet allocationand Engagement, Media Diversity, Media Policy, Online news, Publice Service Broadcasting, WP2: User Modeling Personalization and Engagement | Links: @article{Sjøvaag2018c, title = {Is public service broadcasting a threat to commercial media?}, author = {Helle Sjøvaag and Truls André Pedersen and Thomas Owren}, url = {https://journals.sagepub.com/doi/pdf/10.1177/0163443718818354}, doi = {https://doi.org/10.1177/0163443718818354}, year = {2018}, date = {2018-12-20}, journal = {Media, Culture & Society}, volume = {46}, number = {1}, pages = {808-827}, abstract = {This article asks to what extent public service broadcasting’s online news service resembles that of commercial media. The context of this inquiry is claims of ‘out-crowding’ facing public service broadcasters across Europe. In Norway, commercial players in this debate accuse the public service broadcaster, NRK, of being too similar to competitors in the private sector for commercial operators to attain sustainable revenues in the online realm. To ascertain the extent to what these claims are warranted, this article compares NRK’s online content with that of nine commercial competitors in national and local markets, using a hybrid methodological approach combining quantitative content analysis with Latent Dirichlet allocation, analysing in excess of 115,000 documents. Findings show that commercial operators resemble each other more than they do NRK, indicating closer competition in the commercial segment than between the public service broadcaster and market players.}, keywords = {Commercial media, Content analysis, Latent Dirichlet allocationand Engagement, Media Diversity, Media Policy, Online news, Publice Service Broadcasting, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } This article asks to what extent public service broadcasting’s online news service resembles that of commercial media. The context of this inquiry is claims of ‘out-crowding’ facing public service broadcasters across Europe. In Norway, commercial players in this debate accuse the public service broadcaster, NRK, of being too similar to competitors in the private sector for commercial operators to attain sustainable revenues in the online realm. To ascertain the extent to what these claims are warranted, this article compares NRK’s online content with that of nine commercial competitors in national and local markets, using a hybrid methodological approach combining quantitative content analysis with Latent Dirichlet allocation, analysing in excess of 115,000 documents. Findings show that commercial operators resemble each other more than they do NRK, indicating closer competition in the commercial segment than between the public service broadcaster and market players. |
Njål Borch; Ingar Mæhlum Arntzen Mediasync Report 2015: Evaluating timed playback of HTML5 Media Technical Report 2018. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @techreport{Borch2015, title = {Mediasync Report 2015: Evaluating timed playback of HTML5 Media}, author = {Njål Borch and Ingar Mæhlum Arntzen}, url = {https://norceresearch.brage.unit.no/norceresearch-xmlui/bitstream/handle/11250/2711974/Norut_Tromso_rapport_28-2015.pdf?sequence=2}, year = {2018}, date = {2018-12-18}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {techreport} } |
Sjur Dyrkolbotn; Truls Pedersen; Marija Slavkovik On the distinction between implicit and explicit ethical agency Conference Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES '18), 2018. Abstract | BibTeX | Tags: Agency, Artificial Intelligence, Autonomy, Epistemology, Ethics, WP2: User Modeling Personalization and Engagement | Links: @conference{Dyrkolbotn2018, title = {On the distinction between implicit and explicit ethical agency}, author = {Sjur Dyrkolbotn and Truls Pedersen and Marija Slavkovik}, url = {https://dl.acm.org/doi/pdf/10.1145/3278721.3278769}, doi = {https://doi.org/10.1145/3278721.3278769}, year = {2018}, date = {2018-12-01}, booktitle = {Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (AIES '18)}, pages = {74–80}, abstract = {With recent advances in artificial intelligence and the rapidly increasing importance of autonomous intelligent systems in society, it is becoming clear that artificial agents will have to be designed to comply with complex ethical standards. As we work to develop moral machines, we also push the boundaries of existing legal categories. The most pressing question is what kind of ethical decision-making our machines are actually able to engage in. Both in law and in ethics, the concept of agency forms a basis for further legal and ethical categorisations, pertaining to decision-making ability. Hence, without a cross-disciplinary understanding of what we mean by ethical agency in machines, the question of responsibility and liability cannot be clearly addressed. Here we make first steps towards a comprehensive definition, by suggesting ways to distinguish between implicit and explicit forms of ethical agency.}, keywords = {Agency, Artificial Intelligence, Autonomy, Epistemology, Ethics, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {conference} } With recent advances in artificial intelligence and the rapidly increasing importance of autonomous intelligent systems in society, it is becoming clear that artificial agents will have to be designed to comply with complex ethical standards. As we work to develop moral machines, we also push the boundaries of existing legal categories. The most pressing question is what kind of ethical decision-making our machines are actually able to engage in. Both in law and in ethics, the concept of agency forms a basis for further legal and ethical categorisations, pertaining to decision-making ability. Hence, without a cross-disciplinary understanding of what we mean by ethical agency in machines, the question of responsibility and liability cannot be clearly addressed. Here we make first steps towards a comprehensive definition, by suggesting ways to distinguish between implicit and explicit forms of ethical agency. |
Y. Kudo; K. Takashima; Morten Fjeld; Y. Kitamura, AdapTable: Extending Reach over Large Tabletops Through Flexible Multi-Display Configuration. Proceeding 2018. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @proceedings{Kudo2018, title = { AdapTable: Extending Reach over Large Tabletops Through Flexible Multi-Display Configuration.}, author = {Y. Kudo and K. Takashima and Morten Fjeld and Y. Kitamura, }, url = {https://dl.acm.org/doi/pdf/10.1145/3279778.3279779 https://www.youtube.com/watch?v=HG_4COsWGDM}, year = {2018}, date = {2018-11-17}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {proceedings} } |
Marc Gallofré Ocaña; Lars Nyre; Andreas Lothe Opdahl; Bjørnar Tessem; Christoph Trattner; Csaba Veres Towards a big data platform for news angles Workshop Norwegian Big Data Symposium 2018, 2018. Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @workshop{Ocaña2018, title = {Towards a big data platform for news angles}, author = {Marc Gallofré Ocaña and Lars Nyre and Andreas Lothe Opdahl and Bjørnar Tessem and Christoph Trattner and Csaba Veres}, url = {https://www.researchgate.net/publication/332274562_Towards_a_Big_Data_Platform_for_News_Angles}, year = {2018}, date = {2018-11-01}, booktitle = {Norwegian Big Data Symposium 2018}, abstract = {Finding good angles on news events is a central journalistic and editorial skill. As news work becomes increasingly computer-assisted and big-data based, journalistic tools therefore need to become better able to support news angles too. This paper outlines a big-data platform that is able to suggest appropriate angles on news events to journalists. We first clarify and discuss the central characteristics of news angles. We then proceed to outline a big-data architecture that can propose news angles. Important areas for further work include: representing news angles formally; identifying interesting and unexpected angles on unfolding events; and designing a big-data architecture that works on a global scale. }, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {workshop} } Finding good angles on news events is a central journalistic and editorial skill. As news work becomes increasingly computer-assisted and big-data based, journalistic tools therefore need to become better able to support news angles too. This paper outlines a big-data platform that is able to suggest appropriate angles on news events to journalists. We first clarify and discuss the central characteristics of news angles. We then proceed to outline a big-data architecture that can propose news angles. Important areas for further work include: representing news angles formally; identifying interesting and unexpected angles on unfolding events; and designing a big-data architecture that works on a global scale. |
Helle Sjøvaag; Truls André Pedersen Female voices in the news: Structural conditions of gender representations in Norwegian newspapers Journal Article Journalism & Mass Communication Quarterly, 96 (1), pp. 215-238, 2018. Abstract | BibTeX | Tags: Computional content analysis, Diversity, Gender, Media structures, WP2: User Modeling Personalization and Engagement | Links: @article{Sjøvaag2018b, title = {Female voices in the news: Structural conditions of gender representations in Norwegian newspapers}, author = {Helle Sjøvaag and Truls André Pedersen}, url = {https://journals.sagepub.com/doi/pdf/10.1177/1077699018789885}, doi = {https://doi.org/10.1177/1077699018789885}, year = {2018}, date = {2018-08-21}, journal = {Journalism & Mass Communication Quarterly}, volume = {96}, number = {1}, pages = {215-238}, abstract = {The article presents a hybrid analysis combining manual content analysis of 9,131 sources in 5,544 news stories across 75 publications, with computational gender recognition producing 551,102 names from 320,228 articles across 125 newspapers. The article investigates the significance of structural features for the presence of women in the news. Results show female sources are only equal to men as ordinary citizens and children, and only in lifestyle content. Among the structural features examined, only local distribution and a circulation less than 5,000 exhibit improvements in female representation. Ownership, distribution frequency, market position, and direct press support had little or no effect.}, keywords = {Computional content analysis, Diversity, Gender, Media structures, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } The article presents a hybrid analysis combining manual content analysis of 9,131 sources in 5,544 news stories across 75 publications, with computational gender recognition producing 551,102 names from 320,228 articles across 125 newspapers. The article investigates the significance of structural features for the presence of women in the news. Results show female sources are only equal to men as ordinary citizens and children, and only in lifestyle content. Among the structural features examined, only local distribution and a circulation less than 5,000 exhibit improvements in female representation. Ownership, distribution frequency, market position, and direct press support had little or no effect. |
A Kutuzov; Lilja Øvrelid; T Szymanski; Erik Velldal Diachronic word embeddings and semantic shifts: a survey Proceeding 2018. BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @proceedings{Kutuzov2018, title = {Diachronic word embeddings and semantic shifts: a survey}, author = {A Kutuzov and Lilja Øvrelid and T Szymanski and Erik Velldal}, url = {https://www.aclweb.org/anthology/C18-1117/}, year = {2018}, date = {2018-08-01}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {proceedings} } |
K, Zhu; Morten Fjeld; A Ülüner WristOrigami: Exploring foldable design for multi-display smartwatch Proceeding 2018. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @proceedings{Zhu2018, title = {WristOrigami: Exploring foldable design for multi-display smartwatch}, author = {K, Zhu and Morten Fjeld and A Ülüner}, url = {https://dl.acm.org/doi/pdf/10.1145/3196709.3196713 https://www.youtube.com/watch?v=1_2D79zntIk}, year = {2018}, date = {2018-06-09}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {proceedings} } |
Duc-Tien Dang Nguyen; Michael Alexander Riegler; Liting Zhou; Cathal Gurrin Challenges and opportunities within personal life archives Conference Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018. Abstract | BibTeX | Tags: Lifelogging, Personal Life Archiv, Search Engine, WP3: Media Content Production and Analysis | Links: @conference{Nguyen2018, title = {Challenges and opportunities within personal life archives}, author = {Duc-Tien Dang Nguyen and Michael Alexander Riegler and Liting Zhou and Cathal Gurrin}, url = {https://www.researchgate.net/publication/325706506_Challenges_and_Opportunities_within_Personal_Life_Archives}, doi = {10.1145/3206025.3206040}, year = {2018}, date = {2018-06-01}, booktitle = {Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval}, pages = {335-343}, abstract = {Nowadays, almost everyone holds some form or other of a personal life archive. Automatically maintaining such an archive is an activity that is becoming increasingly common, however without automatic support the users will quickly be overwhelmed by the volume of data and will miss out on the potential benefits that lifelogs provide. In this paper we give an overview of the current status of lifelog research and propose a concept for exploring these archives. We motivate the need for new methodologies for indexing data, organizing content and supporting information access. Finally we will describe challenges to be addressed and give an overview of initial steps that have to be taken, to address the challenges of organising and searching personal life archives.}, keywords = {Lifelogging, Personal Life Archiv, Search Engine, WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {conference} } Nowadays, almost everyone holds some form or other of a personal life archive. Automatically maintaining such an archive is an activity that is becoming increasingly common, however without automatic support the users will quickly be overwhelmed by the volume of data and will miss out on the potential benefits that lifelogs provide. In this paper we give an overview of the current status of lifelog research and propose a concept for exploring these archives. We motivate the need for new methodologies for indexing data, organizing content and supporting information access. Finally we will describe challenges to be addressed and give an overview of initial steps that have to be taken, to address the challenges of organising and searching personal life archives. |
Vinay Setty; Katja Hose Neural embeddings for news events Conference The 41st international acm sigir conference on research development in information retrieval, Association for Computing Machinery Association for Computing Machinery, New York, 2018. Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @conference{Setty2018, title = {Neural embeddings for news events}, author = {Vinay Setty and Katja Hose}, url = {https://dl.acm.org/doi/pdf/10.1145/3209978.3210136}, doi = {10.1145/3209978.3210136}, year = {2018}, date = {2018-06-01}, booktitle = {The 41st international acm sigir conference on research development in information retrieval}, pages = {1013–1016}, publisher = {Association for Computing Machinery}, address = {New York}, organization = {Association for Computing Machinery}, abstract = {Representation of news events as latent feature vectors is essential for several tasks, such as news recommendation, news event linking, etc. However, representations proposed in the past fail to capture the complex network structure of news events. In this paper we propose Event2Vec, a novel way to learn latent feature vectors for news events using a network. We use recently proposed network embedding techniques, which are proven to be very effective for various prediction tasks in networks. As events involve different classes of nodes, such as named entities, temporal information, etc, general purpose network embeddings are agnostic to event semantics. To address this problem, we propose biased random walks that are tailored to capture the neighborhoods of news events in event networks. We then show that these learned embeddings are effective for news event recommendation and news event linking tasks using strong baselines, such as vanilla Node2Vec, and other state-of-the-art graph-based event ranking techniques.}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {conference} } Representation of news events as latent feature vectors is essential for several tasks, such as news recommendation, news event linking, etc. However, representations proposed in the past fail to capture the complex network structure of news events. In this paper we propose Event2Vec, a novel way to learn latent feature vectors for news events using a network. We use recently proposed network embedding techniques, which are proven to be very effective for various prediction tasks in networks. As events involve different classes of nodes, such as named entities, temporal information, etc, general purpose network embeddings are agnostic to event semantics. To address this problem, we propose biased random walks that are tailored to capture the neighborhoods of news events in event networks. We then show that these learned embeddings are effective for news event recommendation and news event linking tasks using strong baselines, such as vanilla Node2Vec, and other state-of-the-art graph-based event ranking techniques. |
V. Vechev; A. Dancu; S Perrault; Q. Roy; Morten Fjeld; S Zhao Movespace: on-body athletic interaction for running and cycling Journal Article 2018. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @article{Vechev2018, title = {Movespace: on-body athletic interaction for running and cycling}, author = {V. Vechev and A. Dancu and S Perrault and Q. Roy and Morten Fjeld and S Zhao }, url = {https://dl.acm.org/doi/pdf/10.1145/3206505.3206527 https://www.youtube.com/watch?v=1_u4Zm4F7I0}, year = {2018}, date = {2018-05-29}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {article} } |
Erik Velldal; Lilja Øvrelid; Eivind Alexander Bergem; Cathrine Stadsnes; Samia Touileb; Fredrik Jørgensen NoReC: The Norwegian Review Corpus Proceeding 2018. Abstract | BibTeX | Tags: WP5: Norwegian Language Technologies @proceedings{Velldal2018, title = {NoReC: The Norwegian Review Corpus}, author = {Erik Velldal and Lilja Øvrelid and Eivind Alexander Bergem and Cathrine Stadsnes and Samia Touileb and Fredrik Jørgensen}, year = {2018}, date = {2018-05-12}, abstract = {https://repo.clarino.uib.no/xmlui/handle/11509/124}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {proceedings} } https://repo.clarino.uib.no/xmlui/handle/11509/124 |
Ingar Mæhlum Arntzen; Njål Borch; François Daoust Media Synchronization on the Web. In: MediaSync Book Chapter 2018. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @inbook{Arntzen2018, title = {Media Synchronization on the Web. In: MediaSync}, author = {Ingar Mæhlum Arntzen and Njål Borch and François Daoust}, url = {https://www.w3.org/community/webtiming/files/2018/05/arntzen_mediasync_web_author_edition.pdf}, year = {2018}, date = {2018-05-07}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {inbook} } |
Angelo Antonio Salatino; Francesco Osborne; Enrico Motta AUGUR: forecasting the emergence of new research topics Conference Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018. Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @conference{Salatino2018, title = {AUGUR: forecasting the emergence of new research topics}, author = {Angelo Antonio Salatino and Francesco Osborne and Enrico Motta}, url = {https://www.researchgate.net/publication/325492541_AUGUR_Forecasting_the_Emergence_of_New_Research_Topics}, year = {2018}, date = {2018-05-01}, booktitle = {Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries}, pages = {303-312}, abstract = {Being able to rapidly recognise new research trends is strategic for many stakeholders, including universities, institutional funding bodies, academic publishers and companies. The literature presents several approaches to identifying the emergence of new research topics, which rely on the assumption that the topic is already exhibiting a certain degree of popularity and consistently referred to by a community of researchers. However, detecting the emergence of a new research area at an embryonic stage, i.e., before the topic has been consistently labelled by a community of researchers and associated with a number of publications, is still an open challenge. We address this issue by introducing Augur, a novel approach to the early detection of research topics. Augur analyses the diachronic relationships between research areas and is able to detect clusters of topics that exhibit dynamics correlated with the emergence of new research topics. Here we also present the Advanced Clique Percolation Method (ACPM), a new community detection algorithm developed specifically for supporting this task. Augur was evaluated on a gold standard of 1,408 debutant topics in the 2000-2011 interval and outperformed four alternative approaches in terms of both precision and recall.}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {conference} } Being able to rapidly recognise new research trends is strategic for many stakeholders, including universities, institutional funding bodies, academic publishers and companies. The literature presents several approaches to identifying the emergence of new research topics, which rely on the assumption that the topic is already exhibiting a certain degree of popularity and consistently referred to by a community of researchers. However, detecting the emergence of a new research area at an embryonic stage, i.e., before the topic has been consistently labelled by a community of researchers and associated with a number of publications, is still an open challenge. We address this issue by introducing Augur, a novel approach to the early detection of research topics. Augur analyses the diachronic relationships between research areas and is able to detect clusters of topics that exhibit dynamics correlated with the emergence of new research topics. Here we also present the Advanced Clique Percolation Method (ACPM), a new community detection algorithm developed specifically for supporting this task. Augur was evaluated on a gold standard of 1,408 debutant topics in the 2000-2011 interval and outperformed four alternative approaches in terms of both precision and recall. |
Brita Ytre-Arne; Hallvard Moe Approximately Informed, Occasionally Monitorial? Reconsidering Normative Citizen Ideals. Journal Article International Journal of Press/Politics, 23 (2), pp. 227–246, 2018. Abstract | BibTeX | Tags: Citizens, Democracy, Democratic Realism, Media Audiences, News, Public Sphere, WP1: Understanding Media Experiences | Links: @article{Arne2018, title = {Approximately Informed, Occasionally Monitorial? Reconsidering Normative Citizen Ideals.}, author = {Brita Ytre-Arne and Hallvard Moe}, url = {https://journals.sagepub.com/doi/pdf/10.1177/1940161218771903}, doi = {10.1177/1940161218771903}, year = {2018}, date = {2018-04-27}, journal = {International Journal of Press/Politics}, volume = {23}, number = {2}, pages = {227–246}, abstract = {This article identifies gaps between normative ideals and realistic accounts of news use in democracy today. Starting from the widespread but unrealistic ideal of the informed citizen, and its more realistic development through notions of the monitorial citizen, we analyze comprehensive qualitative data on news users’ experiences. We describe these news users as approximately informed, occasionally monitorial. This description emphasizes the limited, shifting, and partial figurations of societal information that citizens are able to obtain through their use of journalistic and social media, and thereby challenges normative ideals. How do monitorial ideals function when the citizens are only occasionally on guard? By zooming in on three key gaps between even a less demanding ideal and actual practices in news use, we underline the need to further reconceptualize our expectations of citizens’ news use.}, keywords = {Citizens, Democracy, Democratic Realism, Media Audiences, News, Public Sphere, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } This article identifies gaps between normative ideals and realistic accounts of news use in democracy today. Starting from the widespread but unrealistic ideal of the informed citizen, and its more realistic development through notions of the monitorial citizen, we analyze comprehensive qualitative data on news users’ experiences. We describe these news users as approximately informed, occasionally monitorial. This description emphasizes the limited, shifting, and partial figurations of societal information that citizens are able to obtain through their use of journalistic and social media, and thereby challenges normative ideals. How do monitorial ideals function when the citizens are only occasionally on guard? By zooming in on three key gaps between even a less demanding ideal and actual practices in news use, we underline the need to further reconceptualize our expectations of citizens’ news use. |
Helle Sjøvaag; Eirik Stavelin; Michael Karlsson; Aske Kammer The hyperlinked Scandinavian news ecology: The unequal terms forged by the structural properties of digitalisation Journal Article Digital Journalism, 7 (4), pp. 507-531, 2018. Abstract | BibTeX | Tags: Digital News Ecology, Hyperlinks, Media ownership, Network analysis, News geographies, WP2: User Modeling Personalization and Engagement | Links: @article{Sjøvaag2018, title = {The hyperlinked Scandinavian news ecology: The unequal terms forged by the structural properties of digitalisation}, author = {Helle Sjøvaag and Eirik Stavelin and Michael Karlsson and Aske Kammer}, url = {https://www.tandfonline.com/doi/epub/10.1080/21670811.2018.1454335?needAccess=true}, doi = {https://doi.org/10.1080/21670811.2018.1454335}, year = {2018}, date = {2018-04-06}, journal = {Digital Journalism}, volume = {7}, number = {4}, pages = {507-531}, abstract = {The article presents a network analysis of 22,861,013 geocoded external hyperlinks, collected from 230 Danish, 220 Norwegian and 208 Swedish news websites in 2016. The analysis asks what the structural properties of the Scandinavian media systems—including its geography and ownership structures—mean for news outlets’ centrality within the hyperlinked news ecology. The analysis finds that whereas incumbent legacy media occupy central positions, about one third of the network is absent from the hyperlinked interaction, primarily local, independently owned newspapers. A multiple linear regression analysis shows that national distribution and corporate ownership correlates to network centrality more than other predictors. As brokers in the network consist of the large, legacy, capital-based news organisations, hyperlink connectivity is primarily characterised by proximity to the centres of power, corporate ownership, agenda setting incumbency and national distribution.}, keywords = {Digital News Ecology, Hyperlinks, Media ownership, Network analysis, News geographies, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } The article presents a network analysis of 22,861,013 geocoded external hyperlinks, collected from 230 Danish, 220 Norwegian and 208 Swedish news websites in 2016. The analysis asks what the structural properties of the Scandinavian media systems—including its geography and ownership structures—mean for news outlets’ centrality within the hyperlinked news ecology. The analysis finds that whereas incumbent legacy media occupy central positions, about one third of the network is absent from the hyperlinked interaction, primarily local, independently owned newspapers. A multiple linear regression analysis shows that national distribution and corporate ownership correlates to network centrality more than other predictors. As brokers in the network consist of the large, legacy, capital-based news organisations, hyperlink connectivity is primarily characterised by proximity to the centres of power, corporate ownership, agenda setting incumbency and national distribution. |
Malte Ludewig; Dietmar Jannach Evaluation of Session-based Recommendation Algorithms Journal Article User-Modeling and User-Adapted Interaction, 28 (4-5), pp. 331-390, 2018. Abstract | BibTeX | Tags: Evaluation, General and referance, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement | Links: @article{Ludewig2018, title = {Evaluation of Session-based Recommendation Algorithms}, author = {Malte Ludewig and Dietmar Jannach}, url = {https://arxiv.org/pdf/1803.09587.pdf}, doi = {10.1007/s11257-018-9209-6}, year = {2018}, date = {2018-03-26}, journal = {User-Modeling and User-Adapted Interaction}, volume = {28}, number = {4-5}, pages = {331-390}, abstract = {Recommender systems help users find relevant items of interest, for example on e-commerce or media streaming sites. Most academic research is concerned with approaches that personalize the recommendations according to long-term user profiles. In many real-world applications, however, such long-term profiles often do not exist and recommendations therefore have to be made solely based on the observed behavior of a user during an ongoing session. Given the high practical relevance of the problem, an increased interest in this problem can be observed in recent years, leading to a number of proposals for session-based recommendation algorithms that typically aim to predict the user's immediate next actions. In this work, we present the results of an in-depth performance comparison of a number of such algorithms, using a variety of datasets and evaluation measures. Our comparison includes the most recent approaches based on recurrent neural networks like GRU4REC, factorized Markov model approaches such as FISM or FOSSIL, as well as simpler methods based, e.g., on nearest neighbor schemes. Our experiments reveal that algorithms of this latter class, despite their sometimes almost trivial nature, often perform equally well or significantly better than today's more complex approaches based on deep neural networks. Our results therefore suggest that there is substantial room for improvement regarding the development of more sophisticated session-based recommendation algorithms.}, keywords = {Evaluation, General and referance, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } Recommender systems help users find relevant items of interest, for example on e-commerce or media streaming sites. Most academic research is concerned with approaches that personalize the recommendations according to long-term user profiles. In many real-world applications, however, such long-term profiles often do not exist and recommendations therefore have to be made solely based on the observed behavior of a user during an ongoing session. Given the high practical relevance of the problem, an increased interest in this problem can be observed in recent years, leading to a number of proposals for session-based recommendation algorithms that typically aim to predict the user's immediate next actions. In this work, we present the results of an in-depth performance comparison of a number of such algorithms, using a variety of datasets and evaluation measures. Our comparison includes the most recent approaches based on recurrent neural networks like GRU4REC, factorized Markov model approaches such as FISM or FOSSIL, as well as simpler methods based, e.g., on nearest neighbor schemes. Our experiments reveal that algorithms of this latter class, despite their sometimes almost trivial nature, often perform equally well or significantly better than today's more complex approaches based on deep neural networks. Our results therefore suggest that there is substantial room for improvement regarding the development of more sophisticated session-based recommendation algorithms. |
Massimo Quadrana; Paolo Cremonesi; Dietmar Jannach Sequence-Aware Recommender Systems Journal Article ACM Computing Surveys, 51 (4), pp. 1-35, 2018. Abstract | BibTeX | Tags: Collaborative filtering, Computing Methodology, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement | Links: @article{Quadrana2018, title = {Sequence-Aware Recommender Systems}, author = {Massimo Quadrana and Paolo Cremonesi and Dietmar Jannach}, url = {https://arxiv.org/pdf/1802.08452.pdf}, year = {2018}, date = {2018-02-23}, journal = {ACM Computing Surveys}, volume = {51}, number = {4}, pages = {1-35}, abstract = {Recommender systems are one of the most successful applications of data mining and machine learning technology in practice. Academic research in the field is historically often based on the matrix completion problem formulation, where for each user-item-pair only one interaction (e.g., a rating) is considered. In many application domains, however, multiple user-item interactions of different types can be recorded over time. And, a number of recent works have shown that this information can be used to build richer individual user models and to discover additional behavioral patterns that can be leveraged in the recommendation process. In this work we review existing works that consider information from such sequentially-ordered user- item interaction logs in the recommendation process. Based on this review, we propose a categorization of the corresponding recommendation tasks and goals, summarize existing algorithmic solutions, discuss methodological approaches when benchmarking what we call sequence-aware recommender systems, and outline open challenges in the area.}, keywords = {Collaborative filtering, Computing Methodology, Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } Recommender systems are one of the most successful applications of data mining and machine learning technology in practice. Academic research in the field is historically often based on the matrix completion problem formulation, where for each user-item-pair only one interaction (e.g., a rating) is considered. In many application domains, however, multiple user-item interactions of different types can be recorded over time. And, a number of recent works have shown that this information can be used to build richer individual user models and to discover additional behavioral patterns that can be leveraged in the recommendation process. In this work we review existing works that consider information from such sequentially-ordered user- item interaction logs in the recommendation process. Based on this review, we propose a categorization of the corresponding recommendation tasks and goals, summarize existing algorithmic solutions, discuss methodological approaches when benchmarking what we call sequence-aware recommender systems, and outline open challenges in the area. |
Shuo Zhang; Krisztian Balog Ad Hoc Table Retrieval using Semantic Similarity Conference Proceedings of The Web Conference 2018 (WWW’18), 2018. Abstract | BibTeX | Tags: Semantic matching, Semantic representations, Semantic similarity, Table retrieval, Table search, WP2: User Modeling Personalization and Engagement | Links: @conference{Zhang2018, title = {Ad Hoc Table Retrieval using Semantic Similarity}, author = {Shuo Zhang and Krisztian Balog}, url = {https://arxiv.org/pdf/1802.06159.pdf}, doi = {10.1145/3178876.3186067}, year = {2018}, date = {2018-02-16}, booktitle = {Proceedings of The Web Conference 2018 (WWW’18)}, pages = {1553-1562}, abstract = {We introduce and address the problem of ad hoc table retrieval: answering a keyword query with a ranked list of tables. This task is not only interesting on its own account, but is also being used as a core component in many other table-based information access scenarios, such as table completion or table mining. The main novel contribution of this work is a method for performing semantic matching between queries and tables. Specifically, we (i) represent queries and tables in multiple semantic spaces (both discrete sparse and continuous dense vector representations) and (ii) introduce various similarity measures for matching those semantic representations. We consider all possible combinations of semantic representations and similarity measures and use these as features in a supervised learning model. Using a purpose-built test collection based on Wikipedia tables, we demonstrate significant and substantial improvements over a state-of-the-art baseline.}, keywords = {Semantic matching, Semantic representations, Semantic similarity, Table retrieval, Table search, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {conference} } We introduce and address the problem of ad hoc table retrieval: answering a keyword query with a ranked list of tables. This task is not only interesting on its own account, but is also being used as a core component in many other table-based information access scenarios, such as table completion or table mining. The main novel contribution of this work is a method for performing semantic matching between queries and tables. Specifically, we (i) represent queries and tables in multiple semantic spaces (both discrete sparse and continuous dense vector representations) and (ii) introduce various similarity measures for matching those semantic representations. We consider all possible combinations of semantic representations and similarity measures and use these as features in a supervised learning model. Using a purpose-built test collection based on Wikipedia tables, we demonstrate significant and substantial improvements over a state-of-the-art baseline. |
Ranjana Das; Brita Ytre-Arne (Ed.) The Future of Audiences: A Foresight Analysis of Interfaces and Engagement Book 1st, Palgrave Macmillan, 2018, ISBN: 978-3-319-75637-0. Abstract | BibTeX | Tags: WP1: Understanding Media Experiences | Links: @book{Das2018, title = {The Future of Audiences: A Foresight Analysis of Interfaces and Engagement}, editor = {Ranjana Das and Brita Ytre-Arne}, url = {https://www.palgrave.com/gp/book/9783319756370#aboutBook}, doi = {10.1007/978-3-319-75638-7}, isbn = {978-3-319-75637-0}, year = {2018}, date = {2018-01-01}, publisher = {Palgrave Macmillan}, edition = {1st}, abstract = {This book brings together contributions from scholars across Europe to present findings from a foresight analysis exercise on audiences and audience analysis, looking towards an increasingly datafied world and anticipating the ubiquity of the internet of things. The book uses knowledge emerging out of three foresight exercises, produced in co-operation with more than 50 stake-holding organisations and building on systematic reviews of audience research. It works through these exercises to arrive at a renewed agenda for audience studies within communication scholarship in the context of intrusive and connected interfaces and emerging communicative practices. }, keywords = {WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {book} } This book brings together contributions from scholars across Europe to present findings from a foresight analysis exercise on audiences and audience analysis, looking towards an increasingly datafied world and anticipating the ubiquity of the internet of things. The book uses knowledge emerging out of three foresight exercises, produced in co-operation with more than 50 stake-holding organisations and building on systematic reviews of audience research. It works through these exercises to arrive at a renewed agenda for audience studies within communication scholarship in the context of intrusive and connected interfaces and emerging communicative practices. |
Krisztian Balog Entity-Oriented Search Book 1, Springer, 2018, ISBN: 978-3-319-93935-3. Abstract | BibTeX | Tags: WP2: User Modeling Personalization and Engagement | Links: @book{Balog2018, title = {Entity-Oriented Search}, author = {Krisztian Balog}, url = {https://www.springer.com/gp/book/9783319939339}, doi = {10.1007/978-3-319-93935-3}, isbn = {978-3-319-93935-3}, year = {2018}, date = {2018-01-01}, volume = {39}, publisher = {Springer}, edition = {1}, abstract = {This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book.}, keywords = {WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {book} } This open access book covers all facets of entity-oriented search—where “search” can be interpreted in the broadest sense of information access—from a unified point of view, and provides a coherent and comprehensive overview of the state of the art. It represents the first synthesis of research in this broad and rapidly developing area. Selected topics are discussed in-depth, the goal being to establish fundamental techniques and methods as a basis for future research and development. Additional topics are treated at a survey level only, containing numerous pointers to the relevant literature. A roadmap for future research, based on open issues and challenges identified along the way, rounds out the book. |
Ingar Mæhlum Arntzen; Njål Borch; François Daoust; Dominique Hazael-Massieux Multi-device Linear Composition on the Web, Enabling Multi-device Linear Media with HTMLTimingObject and Shared Motion Conference Media Synchronization Workshop Brussels, 2018. Abstract | BibTeX | Tags: Linear Media, Multi-device, Shared Motion, WP4: Media Content Interaction and Accessibility | Links: @conference{Arntzen2018b, title = {Multi-device Linear Composition on the Web, Enabling Multi-device Linear Media with HTMLTimingObject and Shared Motion}, author = {Ingar Mæhlum Arntzen and Njål Borch and François Daoust and Dominique Hazael-Massieux }, url = {https://www.researchgate.net/publication/324991987_Multi-device_Linear_Composition_on_the_Web_Enabling_Multi-device_Linear_Media_with_HTMLTimingObject_and_Shared_Motion}, year = {2018}, date = {2018-01-01}, address = {Brussels}, organization = {Media Synchronization Workshop}, abstract = {Composition is a hallmark of the Web, yet it does not fully extend to linear media. This paper defines linear composition as the ability to form linear media by coordinated playback of independent linear components. We argue that native Web support for linear composition is a key enabler for Web-based multi-device linear media, and that precise multi-device timing is the main technical challenge. This paper proposes the introduction of an HTMLTimingObject as basis for linear composition in the single-device scenario. Linear composition in the multi-device scenario is ensured as HTMLTimingObjects may integrate with Shared Motion, a generic timing mechanism for the Web. By connecting HTMLMediaElements and HTMLTrackElements with a multi-device timing mechanism, a powerful programming model for multi-device linear media is unlocked.}, keywords = {Linear Media, Multi-device, Shared Motion, WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {conference} } Composition is a hallmark of the Web, yet it does not fully extend to linear media. This paper defines linear composition as the ability to form linear media by coordinated playback of independent linear components. We argue that native Web support for linear composition is a key enabler for Web-based multi-device linear media, and that precise multi-device timing is the main technical challenge. This paper proposes the introduction of an HTMLTimingObject as basis for linear composition in the single-device scenario. Linear composition in the multi-device scenario is ensured as HTMLTimingObjects may integrate with Shared Motion, a generic timing mechanism for the Web. By connecting HTMLMediaElements and HTMLTrackElements with a multi-device timing mechanism, a powerful programming model for multi-device linear media is unlocked. |
Cecilia Di Sciascio; Peter Brusilovsky; Christoph Trattner; Eduardo Veas The Roadmap to User-Controllable Social Exploratory Search Journal Article ACM Transactions on Interactive Intelligent Systems, pp. 1-37, 2018. Abstract | BibTeX | Tags: CCS Concepts, Computer systems organization, Embedded systems, Network reliability;, Networks, Redundancy, Robotics | Links: @article{Sciascio2018, title = {The Roadmap to User-Controllable Social Exploratory Search}, author = {Cecilia Di Sciascio and Peter Brusilovsky and Christoph Trattner and Eduardo Veas}, url = {https://www.christophtrattner.info/pubs/TIIS2019.pdf}, year = {2018}, date = {2018-01-01}, journal = {ACM Transactions on Interactive Intelligent Systems}, pages = {1-37}, abstract = {Information-seeking tasks with learning or investigative purposes are usually referred to as exploratory search. Exploratory search unfolds as a dynamic process where the user, amidst navigation, trial-and-error and on-the-!y selections, gathers and organizes information (resources). A range of innovative interfaces with increased user control have been developed to support exploratory search process. In this work we present our attempt to increase the power of exploratory search interfaces by using ideas of social search, i.e., leveraging information left by past users of information systems. Social search technologies are highly popular nowadays, especially for improving ranking. However, current approaches to social ranking do not allow users to decide to what extent social information should be taken into account for result ranking. This paper presents an interface that integrates social search functionality into an exploratory search system in a user-controlled way that is consistent with the nature of exploratory search. The interface incorporates control features that allow the user to (i) express information needs by selecting keywords and (ii) to express preferences for incorporating social wisdom based on tag matching and user similarity. The interface promotes search transparency through color-coded stacked bars and rich tooltips. This work presents the full series of evaluations conducted to, "rst, assess the value of the social models in contexts independent to the user interface, in terms of objective and perceived accuracy. Then, in a study with the full-!edged system, we investigated system accuracy and subjective aspects with a structural model that revealed that, when users actively interacted with all its control features, the hybrid system outperformed a baseline content-based-only tool and users were more satis"ed.}, keywords = {CCS Concepts, Computer systems organization, Embedded systems, Network reliability;, Networks, Redundancy, Robotics}, pubstate = {published}, tppubtype = {article} } Information-seeking tasks with learning or investigative purposes are usually referred to as exploratory search. Exploratory search unfolds as a dynamic process where the user, amidst navigation, trial-and-error and on-the-!y selections, gathers and organizes information (resources). A range of innovative interfaces with increased user control have been developed to support exploratory search process. In this work we present our attempt to increase the power of exploratory search interfaces by using ideas of social search, i.e., leveraging information left by past users of information systems. Social search technologies are highly popular nowadays, especially for improving ranking. However, current approaches to social ranking do not allow users to decide to what extent social information should be taken into account for result ranking. This paper presents an interface that integrates social search functionality into an exploratory search system in a user-controlled way that is consistent with the nature of exploratory search. The interface incorporates control features that allow the user to (i) express information needs by selecting keywords and (ii) to express preferences for incorporating social wisdom based on tag matching and user similarity. The interface promotes search transparency through color-coded stacked bars and rich tooltips. This work presents the full series of evaluations conducted to, "rst, assess the value of the social models in contexts independent to the user interface, in terms of objective and perceived accuracy. Then, in a study with the full-!edged system, we investigated system accuracy and subjective aspects with a structural model that revealed that, when users actively interacted with all its control features, the hybrid system outperformed a baseline content-based-only tool and users were more satis"ed. |
Ana Milojevic; Aleksandra Krstić Hierarchy of influences on transitional journalism–Corrupting relationships between political, economic and media elites Journal Article European Journal of Communication, 33 (1), pp. 37-56, 2018. Abstract | BibTeX | Tags: Corruption, hierarchy-of-influences, media autonomy, Serbia, transitional journalism, WP1: Understanding Media Experiences | Links: @article{Milojevic2018, title = {Hierarchy of influences on transitional journalism–Corrupting relationships between political, economic and media elites}, author = {Ana Milojevic and Aleksandra Krstić}, url = {https://www.researchgate.net/publication/322260163_Hierarchy_of_influences_on_transitional_journalism_-_Corrupting_relationships_between_political_economic_and_media_elites}, year = {2018}, date = {2018-01-01}, journal = {European Journal of Communication}, volume = {33}, number = {1}, pages = {37-56}, abstract = {In this article, we use the hierarchy-of-influences model as a framework for examining the ways in which media owners, managers and journalists perceive the influence exerted on their work during 12-year democratic transition in Serbia. We aim to explain how factors perceived as influential at the highest system level gradually transfer and relate to the factors on the subsumed levels. Using the concepts such as corruption and the culture of corruption to interpret hierarchy between different levels of influence on transitional journalism, we argue that coupling extra-media actors at the system level can be considered corruption – understood as abuse of power for personal gain or benefit of the aligned group – which translates to all other levels of influence.}, keywords = {Corruption, hierarchy-of-influences, media autonomy, Serbia, transitional journalism, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } In this article, we use the hierarchy-of-influences model as a framework for examining the ways in which media owners, managers and journalists perceive the influence exerted on their work during 12-year democratic transition in Serbia. We aim to explain how factors perceived as influential at the highest system level gradually transfer and relate to the factors on the subsumed levels. Using the concepts such as corruption and the culture of corruption to interpret hierarchy between different levels of influence on transitional journalism, we argue that coupling extra-media actors at the system level can be considered corruption – understood as abuse of power for personal gain or benefit of the aligned group – which translates to all other levels of influence. |
2017 |
Torstein Harildstad Valgkampens store tabu Online Dagbladet 2017. BibTeX | Tags: Debatt, Digitalisering | Links: @online{Harildstad2017, title = {Valgkampens store tabu}, author = {Torstein Harildstad}, url = {https://www.dagbladet.no/kultur/valgkampens-store-tabu/68665330}, year = {2017}, date = {2017-09-07}, organization = {Dagbladet}, keywords = {Debatt, Digitalisering}, pubstate = {published}, tppubtype = {online} } |
Christina Boididou; Stuart Middleton; Zhiwei Jin; Symeon Papadopoulos; Duc-Tien Dang Nguyen; G. Boato; Ioannis (Yiannis) Kompatsiaris Verifying information with multimedia content on twitter: A comparative study of automated approaches Journal Article Multimedia Tools and Applications, 77 (12), pp. 15545-15571, 2017. Abstract | BibTeX | Tags: Credibility, Fake Detection, Multimedia, Social Media, Trust, Twitter, Veracity, Verification, WP3: Media Content Production and Analysis | Links: @article{Boididou2017, title = {Verifying information with multimedia content on twitter: A comparative study of automated approaches}, author = {Christina Boididou and Stuart Middleton and Zhiwei Jin and Symeon Papadopoulos and Duc-Tien Dang Nguyen and G. Boato and Ioannis (Yiannis) Kompatsiaris}, url = {https://www.researchgate.net/publication/319859894_Verifying_information_with_multimedia_content_on_twitter_A_comparative_study_of_automated_approaches}, doi = {10.1007/s11042-017-5132-9}, year = {2017}, date = {2017-09-01}, journal = {Multimedia Tools and Applications}, volume = {77}, number = {12}, pages = {15545-15571}, abstract = {An increasing amount of posts on social media are used for dissem- inating news information and are accompanied by multimedia content. Such content may often be misleading or be digitally manipulated. More often than not, such pieces of content reach the front pages of major news outlets, having a detrimental eect on their credibility. To avoid such eects, there is profound need for automated methods that can help debunk and verify online content in very short time. To this end, we present a comparative study of three such methods that are catered for Twitter, a major social media platform used for news sharing. Those include: a) a method that uses textual patterns to extract }, keywords = {Credibility, Fake Detection, Multimedia, Social Media, Trust, Twitter, Veracity, Verification, WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } An increasing amount of posts on social media are used for dissem- inating news information and are accompanied by multimedia content. Such content may often be misleading or be digitally manipulated. More often than not, such pieces of content reach the front pages of major news outlets, having a detrimental eect on their credibility. To avoid such eects, there is profound need for automated methods that can help debunk and verify online content in very short time. To this end, we present a comparative study of three such methods that are catered for Twitter, a major social media platform used for news sharing. Those include: a) a method that uses textual patterns to extract |
Njål Borch Økt samvirke og beslutningsstøtte – Case Salten Brann IKS Technical Report 2017. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @techreport{Borch2017, title = {Økt samvirke og beslutningsstøtte – Case Salten Brann IKS}, author = {Njål Borch}, url = {https://norceresearch.brage.unit.no/norceresearch-xmlui/handle/11250/2647818}, year = {2017}, date = {2017-08-17}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {techreport} } |
Mehdi Elahi; Yashar Deldjoo; Farshad Bakhshandegan Moghaddam; Leonardo Cella; Stefano Cerada; Paolo Cremonesi Exploring the semantic gap for movie recommendations Conference Proceedings of the Eleventh ACM Conference on Recommender Systems, Association for Computing Machinery New York, 2017. Abstract | BibTeX | Tags: Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement | Links: @conference{Elahi2017, title = {Exploring the semantic gap for movie recommendations}, author = {Mehdi Elahi and Yashar Deldjoo and Farshad Bakhshandegan Moghaddam and Leonardo Cella and Stefano Cerada and Paolo Cremonesi }, url = {https://dl.acm.org/doi/pdf/10.1145/3109859.3109908}, doi = {https://doi.org/10.1145/3109859.3109908}, year = {2017}, date = {2017-08-01}, booktitle = {Proceedings of the Eleventh ACM Conference on Recommender Systems}, pages = {326–330}, address = {New York}, organization = {Association for Computing Machinery}, abstract = {In the last years, there has been much attention given to the semantic gap problem in multimedia retrieval systems. Much effort has been devoted to bridge this gap by building tools for the extraction of high-level, semantics-based features from multimedia content, as low-level features are not considered useful because they deal primarily with representing the perceived content rather than the semantics of it. In this paper, we explore a different point of view by leveraging the gap between low-level and high-level features. We experiment with a recent approach for movie recommendation that extract low-level Mise-en-Scéne features from multimedia content and combine it with high-level features provided by the wisdom of the crowd. To this end, we first performed an offline performance assessment by implementing a pure content-based recommender system with three different versions of the same algorithm, respectively based on (i) conventional movie attributes, (ii) mise-en-scene features, and (iii) a hybrid method that interleaves recommendations based on movie attributes and mise-en-scene features. In a second study, we designed an empirical study involving 100 subjects and collected data regarding the quality perceived by the users. Results from both studies show that the introduction of mise-en-scéne features in conjunction with traditional movie attributes improves both offline and online quality of recommendations.}, keywords = {Information Systems, Recommender systems, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {conference} } In the last years, there has been much attention given to the semantic gap problem in multimedia retrieval systems. Much effort has been devoted to bridge this gap by building tools for the extraction of high-level, semantics-based features from multimedia content, as low-level features are not considered useful because they deal primarily with representing the perceived content rather than the semantics of it. In this paper, we explore a different point of view by leveraging the gap between low-level and high-level features. We experiment with a recent approach for movie recommendation that extract low-level Mise-en-Scéne features from multimedia content and combine it with high-level features provided by the wisdom of the crowd. To this end, we first performed an offline performance assessment by implementing a pure content-based recommender system with three different versions of the same algorithm, respectively based on (i) conventional movie attributes, (ii) mise-en-scene features, and (iii) a hybrid method that interleaves recommendations based on movie attributes and mise-en-scene features. In a second study, we designed an empirical study involving 100 subjects and collected data regarding the quality perceived by the users. Results from both studies show that the introduction of mise-en-scéne features in conjunction with traditional movie attributes improves both offline and online quality of recommendations. |
Duc-Tien Dang Nguyen; Luca Piras; Giorgio Giacinto; G. Boato; Francesco G. B. DE Natale Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images Journal Article 14 (4), pp. 1-24, 2017. Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @article{Nguyen2017, title = {Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images}, author = {Duc-Tien Dang Nguyen and Luca Piras and Giorgio Giacinto and G. Boato and Francesco G. B. DE Natale }, url = {https://www.researchgate.net/publication/319114515_Multimodal_Retrieval_with_Diversification_and_Relevance_Feedback_for_Tourist_Attraction_Images}, doi = {10.1145/3103613}, year = {2017}, date = {2017-08-01}, booktitle = {ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)}, volume = {14}, number = {4}, pages = {1-24}, abstract = {In this article, we present a novel framework that can produce a visual description of a tourist attraction by choosing the most diverse pictures from community-contributed datasets, which describe different details of the queried location. The main strength of the proposed approach is its flexibility that permits us to filter out non-relevant images and to obtain a reliable set of diverse and relevant images by first clustering similar images according to their textual descriptions and their visual content and then extracting images from different clusters according to a measure of the user’s credibility. Clustering is based on a two-step process, where textual descriptions are used first and the clusters are then refined according to the visual features. The degree of diversification can be further increased by exploiting users’ judgments on the results produced by the proposed algorithm through a novel approach, where users not only provide a relevance feedback but also a diversity feedback. Experimental results performed on the MediaEval 2015 “Retrieving Diverse Social Images” dataset show that the proposed framework can achieve very good performance both in the case of automatic retrieval of diverse images and in the case of the exploitation of the users’ feedback. The effectiveness of the proposed approach has been also confirmed by a small case study involving a number of real users.}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } In this article, we present a novel framework that can produce a visual description of a tourist attraction by choosing the most diverse pictures from community-contributed datasets, which describe different details of the queried location. The main strength of the proposed approach is its flexibility that permits us to filter out non-relevant images and to obtain a reliable set of diverse and relevant images by first clustering similar images according to their textual descriptions and their visual content and then extracting images from different clusters according to a measure of the user’s credibility. Clustering is based on a two-step process, where textual descriptions are used first and the clusters are then refined according to the visual features. The degree of diversification can be further increased by exploiting users’ judgments on the results produced by the proposed algorithm through a novel approach, where users not only provide a relevance feedback but also a diversity feedback. Experimental results performed on the MediaEval 2015 “Retrieving Diverse Social Images” dataset show that the proposed framework can achieve very good performance both in the case of automatic retrieval of diverse images and in the case of the exploitation of the users’ feedback. The effectiveness of the proposed approach has been also confirmed by a small case study involving a number of real users. |
David Elsweiler; Christoph Trattner; Morgan Harvey Exploiting Food Choice Biases for Healthier Recipe Recommendation Conference ACM SIGIR Conference 2017. Abstract | BibTeX | Tags: Behavioural change, Food RecSys, Human decision making, Information behaviour | Links: @conference{Elsweiler2017, title = {Exploiting Food Choice Biases for Healthier Recipe Recommendation}, author = {David Elsweiler and Christoph Trattner and Morgan Harvey}, url = {https://www.christophtrattner.info/pubs/SIGIR2017.pdf}, year = {2017}, date = {2017-08-01}, organization = {ACM SIGIR Conference}, abstract = {By incorporating healthiness into the food recommendation / ranking process we have the potential to improve the eating habits of a growing number of people who use the Internet as a source of food inspiration. In this paper, using insights gained from various data sources, we explore the feasibility of substituting meals that would typically be recommended to users with similar, healthier dishes. First, by analysing a recipe collection sourced from Allrecipes.com, we quantify the potential for nding replacement recipes, which are comparable but have di erent nutritional characteristics and are nevertheless highly rated by users. Building on this, we present two controlled user studies (n=107, n=111) investigating how people perceive and select recipes. We show participants are unable to reliably identify which recipe contains most fat due to their answers being biased by lack of information, misleading cues and limited nutritional knowledge on their part. By applying machine learning techniques to predict the preferred recipes, good performance can be achieved using low-level image features and recipe meta-data as predictors. Despite not being able to consciously determine which of two recipes contains most fat, on average, participants select the recipe with the most fat as their preference. The importance of image features reveals that recipe choices are often visually driven. A nal user study (n=138) investigates to what extent the predictive models can be used to select recipe replacements such that users can be “nudged” towards choosing healthier recipes. Our ndings have important implications for online food systems.}, keywords = {Behavioural change, Food RecSys, Human decision making, Information behaviour}, pubstate = {published}, tppubtype = {conference} } By incorporating healthiness into the food recommendation / ranking process we have the potential to improve the eating habits of a growing number of people who use the Internet as a source of food inspiration. In this paper, using insights gained from various data sources, we explore the feasibility of substituting meals that would typically be recommended to users with similar, healthier dishes. First, by analysing a recipe collection sourced from Allrecipes.com, we quantify the potential for nding replacement recipes, which are comparable but have di erent nutritional characteristics and are nevertheless highly rated by users. Building on this, we present two controlled user studies (n=107, n=111) investigating how people perceive and select recipes. We show participants are unable to reliably identify which recipe contains most fat due to their answers being biased by lack of information, misleading cues and limited nutritional knowledge on their part. By applying machine learning techniques to predict the preferred recipes, good performance can be achieved using low-level image features and recipe meta-data as predictors. Despite not being able to consciously determine which of two recipes contains most fat, on average, participants select the recipe with the most fat as their preference. The importance of image features reveals that recipe choices are often visually driven. A nal user study (n=138) investigates to what extent the predictive models can be used to select recipe replacements such that users can be “nudged” towards choosing healthier recipes. Our ndings have important implications for online food systems. |
Samia Touileb; Truls Pedersen; Helle Sjøvaag Automatic identification of unknown names with specific roles Journal Article Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pp. 150-158, 2017. Abstract | BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @article{Touileb2017, title = {Automatic identification of unknown names with specific roles}, author = {Samia Touileb and Truls Pedersen and Helle Sjøvaag}, url = {https://www.aclweb.org/anthology/W18-4517.pdf}, year = {2017}, date = {2017-08-01}, journal = {Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature}, pages = {150-158}, abstract = {Automatically identifying persons in a particular role within a large corpus can be a difficult task, especially if you don’t know who you are actually looking for. Resources compiling names of persons can be available, but no exhaustive lists exist. However, such lists usually contain known names that are “visible” in the national public sphere, and tend to ignore the marginal and international ones. In this article we propose a method for automatically generating suggestions of names found in a corpus of Norwegian news articles, and which “naturally” belong to a given initial list of members, and that were not known (compiled in a list) beforehand. The approach is based, in part, on the assumption that surface level syntactic features reveal parts of the underlying semantic content and can help uncover the structure of the language.}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {article} } Automatically identifying persons in a particular role within a large corpus can be a difficult task, especially if you don’t know who you are actually looking for. Resources compiling names of persons can be available, but no exhaustive lists exist. However, such lists usually contain known names that are “visible” in the national public sphere, and tend to ignore the marginal and international ones. In this article we propose a method for automatically generating suggestions of names found in a corpus of Norwegian news articles, and which “naturally” belong to a given initial list of members, and that were not known (compiled in a list) beforehand. The approach is based, in part, on the assumption that surface level syntactic features reveal parts of the underlying semantic content and can help uncover the structure of the language. |
Mehdi Elahi; Reza Hosseini; Mohammad H. Rimaz; Farshad B. Moghaddam; Christoph Trattner Visually-Aware Video Recommendation in the Cold Start Conference Proccedings of theACM Hypertext 2020 2017. Abstract | BibTeX | Tags: Video Recommendation | Links: @conference{Elahi2017b, title = {Visually-Aware Video Recommendation in the Cold Start}, author = {Mehdi Elahi and Reza Hosseini and Mohammad H. Rimaz and Farshad B. Moghaddam and Christoph Trattner}, url = {https://christophtrattner.com/pubs/ht2020.pdf}, year = {2017}, date = {2017-07-01}, pages = {1-5}, organization = {Proccedings of theACM Hypertext 2020}, abstract = {Recommender Systems (RSs) have become essential tools in any video-sharing platforms (such as YouTube) by generating video suggestions for users. Although, RSs have been e!ective, however, they su!er from the so-called New Item problem. New item problem, as part of Cold Start problem, happens when a new item is added to the system catalogue and the RS has no or little data available for that new item. In such a case, the system may fail to meaningfully recommend the new item to any user. In this paper, we propose a novel recommendation technique based on visual tags, i.e., tags that are automatically annotated to videos based on visual description of videos. Such visual tags can be used in an extreme cold start situation, where neither any rating, nor any tag is available for the new video item. The visual tags could also be used in the moderate cold start situation when the new video item has been annotated with few tags. This type of content features can be extracted automatically without any human involvement and have been shown to be very e!ective in representing the video content. We have used a large dataset of videos and shown that 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 = {Video Recommendation}, pubstate = {published}, tppubtype = {conference} } Recommender Systems (RSs) have become essential tools in any video-sharing platforms (such as YouTube) by generating video suggestions for users. Although, RSs have been e!ective, however, they su!er from the so-called New Item problem. New item problem, as part of Cold Start problem, happens when a new item is added to the system catalogue and the RS has no or little data available for that new item. In such a case, the system may fail to meaningfully recommend the new item to any user. In this paper, we propose a novel recommendation technique based on visual tags, i.e., tags that are automatically annotated to videos based on visual description of videos. Such visual tags can be used in an extreme cold start situation, where neither any rating, nor any tag is available for the new video item. The visual tags could also be used in the moderate cold start situation when the new video item has been annotated with few tags. This type of content features can be extracted automatically without any human involvement and have been shown to be very e!ective in representing the video content. We have used a large dataset of videos and shown that 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. |
M Fares; A Kutuzov; S Oepen; Erik Velldal Word vectors, reuse, and replicability: Towards a community repository of large-text resources Proceeding 2017. BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @proceedings{Fares2017, title = { Word vectors, reuse, and replicability: Towards a community repository of large-text resources}, author = {M Fares and A Kutuzov and S Oepen and Erik Velldal}, url = {https://www.duo.uio.no/handle/10852/65205}, year = {2017}, date = {2017-05-22}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {proceedings} } |
Njål Borch; François Daoust; Ingar Mæhlum Arntzen Timing - small step for developers, giant leap for the media industry, IBC 2016 Conference 2017. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @conference{Borch2016, title = {Timing - small step for developers, giant leap for the media industry, IBC 2016}, author = {Njål Borch and François Daoust and Ingar Mæhlum Arntzen}, url = {https://www.w3.org/community/webtiming/files/2016/09/Borch_IBC2016-final.pdf}, year = {2017}, date = {2017-02-11}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {conference} } |
Vinay Setty; Abhijit Anand; Arunav Mishra; Avishek Anand Modeling event importance for ranking daily news events Conference Proceedings of the tenth acm international conference on web search and data mining, Association for Computing Machinery New York, 2017. Abstract | BibTeX | Tags: WP3: Media Content Production and Analysis | Links: @conference{Setty2017, title = {Modeling event importance for ranking daily news events}, author = {Vinay Setty and Abhijit Anand and Arunav Mishra and Avishek Anand}, url = {https://dl.acm.org/doi/pdf/10.1145/3018661.3018728}, doi = {10.1145/3018661.3018728}, year = {2017}, date = {2017-02-01}, booktitle = {Proceedings of the tenth acm international conference on web search and data mining}, pages = {231–240}, address = {New York}, organization = {Association for Computing Machinery}, abstract = {We deal with the problem of ranking news events on a daily basis for large news corpora, an essential building block for news aggregation. News ranking has been addressed in the literature before but with individual news articles as the unit of ranking. However, estimating event importance accurately requires models to quantify current day event importance as well as its significance in the historical context. Consequently, in this paper we show that a cluster of news articles representing an event is a better unit of ranking as it provides an improved estimation of popularity, source diversity and authority cues. In addition, events facilitate quantifying their historical significance by linking them with long-running topics and recent chain of events. Our main contribution in this paper is to provide effective models for improved news event ranking. To this end, we propose novel event mining and feature generation approaches for improving estimates of event importance. Finally, we conduct extensive evaluation of our approaches on two large real-world news corpora each of which span for more than a year with a large volume of up to tens of thousands of daily news articles. Our evaluations are large-scale and based on a clean human curated ground-truth from Wikipedia Current Events Portal. Experimental comparison with a state-of-the-art news ranking technique based on language models demonstrates the effectiveness of our approach.}, keywords = {WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {conference} } We deal with the problem of ranking news events on a daily basis for large news corpora, an essential building block for news aggregation. News ranking has been addressed in the literature before but with individual news articles as the unit of ranking. However, estimating event importance accurately requires models to quantify current day event importance as well as its significance in the historical context. Consequently, in this paper we show that a cluster of news articles representing an event is a better unit of ranking as it provides an improved estimation of popularity, source diversity and authority cues. In addition, events facilitate quantifying their historical significance by linking them with long-running topics and recent chain of events. Our main contribution in this paper is to provide effective models for improved news event ranking. To this end, we propose novel event mining and feature generation approaches for improving estimates of event importance. Finally, we conduct extensive evaluation of our approaches on two large real-world news corpora each of which span for more than a year with a large volume of up to tens of thousands of daily news articles. Our evaluations are large-scale and based on a clean human curated ground-truth from Wikipedia Current Events Portal. Experimental comparison with a state-of-the-art news ranking technique based on language models demonstrates the effectiveness of our approach. |
Lars Nyre; Joao Ribeiro; Bjørnar Tessem Business models for academic prototypes: A new approach to media innovation Journal Article he Journal of Media Innovations, 4 (2), pp. 4-19, 2017. Abstract | BibTeX | Tags: Academic prototype, Business canvas modeling, Innovation method, Journalism, Lean startup, WP3: Media Content Production and Analysis | Links: @article{Nyre2017, title = {Business models for academic prototypes: A new approach to media innovation}, author = {Lars Nyre and Joao Ribeiro and Bjørnar Tessem}, url = {https://journals.uio.no/TJMI/article/view/2616/5101}, doi = {https://doi.org/10.5617/jomi.v4i2.2616}, year = {2017}, date = {2017-01-18}, journal = {he Journal of Media Innovations}, volume = {4}, number = {2}, pages = {4-19}, abstract = {This article introduces the concept of academic prototypes, and shows how they can lead to technological innovation in journalism. We propose an innovation method that transforms a value-oriented academic prototype into a market-oriented journalistic service. The principles for product development presented here are based on the lean startup method as well as business model canvassing. A prototype scenario shows how the locative information app PediaCloud could be transformed into a locative news service for a regional newspaper in Western Norway. Ideally, the academic prototype will be transformed into a novel and engaging way of reading news stories, and a profitable solution for the newspaper. Realistically, the team will have acquired empirical validation of the business model's strong and weak points. In the conclusion, we summarize the utility of the approach for validated learning, and make recommendations for further research on innovation with academic prototypes.}, keywords = {Academic prototype, Business canvas modeling, Innovation method, Journalism, Lean startup, WP3: Media Content Production and Analysis}, pubstate = {published}, tppubtype = {article} } This article introduces the concept of academic prototypes, and shows how they can lead to technological innovation in journalism. We propose an innovation method that transforms a value-oriented academic prototype into a market-oriented journalistic service. The principles for product development presented here are based on the lean startup method as well as business model canvassing. A prototype scenario shows how the locative information app PediaCloud could be transformed into a locative news service for a regional newspaper in Western Norway. Ideally, the academic prototype will be transformed into a novel and engaging way of reading news stories, and a profitable solution for the newspaper. Realistically, the team will have acquired empirical validation of the business model's strong and weak points. In the conclusion, we summarize the utility of the approach for validated learning, and make recommendations for further research on innovation with academic prototypes. |
2016 |
Frode Guribye; Lars Nyre The changing ecology of tools for live news reporting Journal Article Journalism Practice, 10 (11), pp. 1216-1230, 2016, ISSN: 1751-2794. Abstract | BibTeX | Tags: broadcast news; ecology of tools; journalism; live reporting; mobile interaction; video applications; video journalism; visual technology, WP4: Media Content Interaction and Accessibility | Links: @article{Guribye2016, title = {The changing ecology of tools for live news reporting}, author = {Frode Guribye and Lars Nyre}, url = {https://www.tandfonline.com/doi/pdf/10.1080/17512786.2016.1259011?needAccess=true}, doi = {10.1080/17512786.2016.1259011}, issn = {1751-2794}, year = {2016}, date = {2016-12-05}, journal = {Journalism Practice}, volume = {10}, number = {11}, pages = {1216-1230}, abstract = {Broadcast news channels provide fresh, continuously updated coverage of events, in sharp competition with other news channels in the same market. The live moment is a valuable feature, and broadcasters have always relied on teams that can react quickly to breaking news and report live from the scene. Technology plays an important role in the production of live news, and a number of tools are applied by skilled actors in what can be called an ecology of tools for live news reporting. This study explores new video tools for television news, and the tinkering conducted by the reporting teams to adapt to such tools. Six journalists and photographers at broadcaster TV 2 in Norway were interviewed about their everyday work practices out in the field, and we present the findings in an analysis where six aspects of contemporary live news reporting are explored: (1) from heavy to light equipment, (2) more live news at TV 2, (3) the practice of going live, (4) the mobility of live reporters, (5) tinkering to go live, and (6) quicker pace of production. In the concluding remarks we summarize our insights about live news reporting.}, keywords = {broadcast news; ecology of tools; journalism; live reporting; mobile interaction; video applications; video journalism; visual technology, WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {article} } Broadcast news channels provide fresh, continuously updated coverage of events, in sharp competition with other news channels in the same market. The live moment is a valuable feature, and broadcasters have always relied on teams that can react quickly to breaking news and report live from the scene. Technology plays an important role in the production of live news, and a number of tools are applied by skilled actors in what can be called an ecology of tools for live news reporting. This study explores new video tools for television news, and the tinkering conducted by the reporting teams to adapt to such tools. Six journalists and photographers at broadcaster TV 2 in Norway were interviewed about their everyday work practices out in the field, and we present the findings in an analysis where six aspects of contemporary live news reporting are explored: (1) from heavy to light equipment, (2) more live news at TV 2, (3) the practice of going live, (4) the mobility of live reporters, (5) tinkering to go live, and (6) quicker pace of production. In the concluding remarks we summarize our insights about live news reporting. |
Ana Milojevic; Aleksandra Krstić; Aleksandra Ugrinić The Future of Journalism as a System, Profession and Culture: The Perception of Journalism Students Journal Article Media Research, 22 (2), pp. 83-105, 2016. Abstract | BibTeX | Tags: Critical discourse analysis, Future of journalism, Journalism, Journalism studies, Students, WP1: Understanding Media Experiences | Links: @article{Milojevic2016, title = {The Future of Journalism as a System, Profession and Culture: The Perception of Journalism Students}, author = {Ana Milojevic and Aleksandra Krstić and Aleksandra Ugrinić}, url = {https://www.researchgate.net/publication/312420186_The_Future_of_Journalism_as_a_System_Profession_and_Culture_The_Perception_of_Journalism_Students}, year = {2016}, date = {2016-12-01}, journal = {Media Research}, volume = {22}, number = {2}, pages = {83-105}, abstract = {Currently, there is clear need for traditional journalism to redefi ne itself. The intention of this article is to portray the voices of future journalists in this quest. Therefore, Belgrade University journalism students were assigned to write down their contemplations about the journalism of tomorrow in essayistic form. In order to systematize their narratives, three theoretical understandings of jour-nalism are introduced based on a literature review: journalism as a societal system, profession and culture. The essays were analyzed using quantitative and qualitative content and critical discourse analyses. The students’ anticipated changes in journalism understood as a system, profession and culture are dis-cussed, with a special focus on language, in order to deconstruct how students evaluate the future of journalism. Furthermore, the article shows how students perceive their role in redefi ning journalism.}, keywords = {Critical discourse analysis, Future of journalism, Journalism, Journalism studies, Students, WP1: Understanding Media Experiences}, pubstate = {published}, tppubtype = {article} } Currently, there is clear need for traditional journalism to redefi ne itself. The intention of this article is to portray the voices of future journalists in this quest. Therefore, Belgrade University journalism students were assigned to write down their contemplations about the journalism of tomorrow in essayistic form. In order to systematize their narratives, three theoretical understandings of jour-nalism are introduced based on a literature review: journalism as a societal system, profession and culture. The essays were analyzed using quantitative and qualitative content and critical discourse analyses. The students’ anticipated changes in journalism understood as a system, profession and culture are dis-cussed, with a special focus on language, in order to deconstruct how students evaluate the future of journalism. Furthermore, the article shows how students perceive their role in redefi ning journalism. |
Torstein Harildstad Samling av makt og myndighet Journal Article Stat & Styring , 26 (4), pp. 32-35, 2016. Abstract | BibTeX | Tags: Makt, Myndighet, Stat | Links: @article{Harildstad2016, title = {Samling av makt og myndighet}, author = {Torstein Harildstad}, url = {https://www.idunn.no/file/pdf/66910780/samling_av_makt_og_myndighet.pdf}, year = {2016}, date = {2016-11-23}, journal = {Stat & Styring }, volume = {26}, number = {4}, pages = {32-35}, abstract = {Evnen til å utnytte IKT spiller en avgjørende rolle for verdiskapningen og velferden i Norge. Det er nå på tide å samle makt og myndighet i en kraftfull enhet, for å unngå den ødeleggende kompetansestriden mellom etater som nå finner sted.}, keywords = {Makt, Myndighet, Stat}, pubstate = {published}, tppubtype = {article} } Evnen til å utnytte IKT spiller en avgjørende rolle for verdiskapningen og velferden i Norge. Det er nå på tide å samle makt og myndighet i en kraftfull enhet, for å unngå den ødeleggende kompetansestriden mellom etater som nå finner sted. |
Dietmar Jannach; Alexander Tuzhilin; Markus Zanker Recommender Systems - Beyond Matrix Completion Journal Article Communications of the ACM, 59 (11), pp. 94-102, 2016. Abstract | BibTeX | Tags: Recommender systems, WP2: User Modeling Personalization and Engagement | Links: @article{Jannach2016, title = {Recommender Systems - Beyond Matrix Completion}, author = {Dietmar Jannach and Alexander Tuzhilin and Markus Zanker }, url = {https://www.researchgate.net/publication/309600906_Recommender_systems---_beyond_matrix_completion}, doi = {10.1145/2891406}, year = {2016}, date = {2016-10-01}, journal = {Communications of the ACM}, volume = {59}, number = {11}, pages = {94-102}, abstract = {Recommender systems have become a natural part of the user experience in today's online world. These systems are able to deliver value both for users and providers and are one prominent example where the output of academic research has a direct impact on the advancements in industry. In this article, we have briefy reviewed the history of this multidis-ciplinary field and looked at recent efforts in the research community to consider the variety of factors that may influence the long-term success of a recommender system. The list of open issues and success factors is still far from complete and new challenges arise constantly that require further research. For example, the huge amounts of user data and preference signals that become available through the Social Web and the Internet of Things not only leads to technical challenges such as scalability, but also to societal questions concerning user privacy. Based on our reflections on the developments in the field, we finally emphasize the need for a more holistic research approach that combines the insights of different disciplines. We urge that research focuses even more on practical problems that matter and are truly suited to increase the utility of recommendations from the viewpoint of the users. }, keywords = {Recommender systems, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } Recommender systems have become a natural part of the user experience in today's online world. These systems are able to deliver value both for users and providers and are one prominent example where the output of academic research has a direct impact on the advancements in industry. In this article, we have briefy reviewed the history of this multidis-ciplinary field and looked at recent efforts in the research community to consider the variety of factors that may influence the long-term success of a recommender system. The list of open issues and success factors is still far from complete and new challenges arise constantly that require further research. For example, the huge amounts of user data and preference signals that become available through the Social Web and the Internet of Things not only leads to technical challenges such as scalability, but also to societal questions concerning user privacy. Based on our reflections on the developments in the field, we finally emphasize the need for a more holistic research approach that combines the insights of different disciplines. We urge that research focuses even more on practical problems that matter and are truly suited to increase the utility of recommendations from the viewpoint of the users. |
Torstein Harildstad Må vi finne opp hjulet på nytt? Online 2016. BibTeX | Tags: Digitalisering, helse | Links: @online{Harildstad2016b, title = {Må vi finne opp hjulet på nytt?}, author = {Torstein Harildstad}, url = {https://www.dn.no/digitalisering/debatt/helse/ma-vi-finne-opp-hjulet-pa-nytt/1-1-5703702}, year = {2016}, date = {2016-08-07}, keywords = {Digitalisering, helse}, pubstate = {published}, tppubtype = {online} } |
Lydi Smaini; Alexandre Rouxel Devices and methods for power consumption control in powerline communications systems and apparatus Patent 2016. Abstract | BibTeX | Tags: Communications systems, Power consumption @patent{Smaini2016, title = {Devices and methods for power consumption control in powerline communications systems and apparatus}, author = {Lydi Smaini and Alexandre Rouxel}, year = {2016}, date = {2016-08-02}, abstract = {The present disclosure includes systems and techniques relating to power line communications (PLC) systems and apparatus. In some implementations, a method includes determining information regarding a potential data rate to be used with a powerline communications (PLC) channel, reducing a bias current or voltage of an analog front end of a PLC transceiver based on the determined information to reduce power consumption of the analog front end of the PLC transceiver, and transmitting or receiving data over the PLC channel with the reduced bias current or voltage of the analog front end of the PLC transceiver.}, keywords = {Communications systems, Power consumption}, pubstate = {published}, tppubtype = {patent} } The present disclosure includes systems and techniques relating to power line communications (PLC) systems and apparatus. In some implementations, a method includes determining information regarding a potential data rate to be used with a powerline communications (PLC) channel, reducing a bias current or voltage of an analog front end of a PLC transceiver based on the determined information to reduce power consumption of the analog front end of the PLC transceiver, and transmitting or receiving data over the PLC channel with the reduced bias current or voltage of the analog front end of the PLC transceiver. |
Mehdi Elahi; Francesco Ricci; Neil Rubens A survey of active learning in collaborative filtering recommender systems Journal Article Computer Science Review, 20 , pp. 29-50, 2016. Abstract | BibTeX | Tags: Active Learning, Cold Start, Collaborative filtering, New Start, New User, Preference Elicitation, Rating Elicitation, Recommender system, WP2: User Modeling Personalization and Engagement | Links: @article{Elahi2016, title = {A survey of active learning in collaborative filtering recommender systems}, author = {Mehdi Elahi and Francesco Ricci and Neil Rubens}, url = {https://reader.elsevier.com/reader/sd/pii/S1574013715300150?token=EA12A462FC07F42733F4F13375217A57D3FDC7F6047C133156CB1F4E4487DF24C5366547DF4530A25942F690233F2E30}, doi = {10.1016/j.cosrev.2016.05.002}, year = {2016}, date = {2016-06-02}, journal = {Computer Science Review}, volume = {20}, pages = {29-50}, abstract = {In collaborative filtering recommender systems user’s preferences are expressed as ratings for items, and each additional rating extends the knowledge of the system and affects the system’s recommendation accuracy. In general, the more ratings are elicited from the users, the more effective the recommendations are. However, the usefulness of each rating may vary significantly, i.e., different ratings may bring a different amount and type of information about the user’s tastes. Hence, specific techniques, which are defined as “active learning strategies”, can be used to selectively choose the items to be presented to the user for rating. In fact, an active learning strategy identifies and adopts criteria for obtaining data that better reflects users’ preferences and enables to generate better recommendations. So far, a variety of active learning strategies have been proposed in the literature. In this article, we survey recent strategies by grouping them with respect to two distinct dimensions: personalization, i.e., whether the system selected items are different for different users or not, and, hybridization, i.e., whether active learning is guided by a single criterion (heuristic) or by multiple criteria. In addition, we present a comprehensive overview of the evaluation methods and metrics that have been employed by the research community in order to test active learning strategies for collaborative filtering. Finally, we compare the surveyed strategies and provide guidelines for their usage in recommender systems.}, keywords = {Active Learning, Cold Start, Collaborative filtering, New Start, New User, Preference Elicitation, Rating Elicitation, Recommender system, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } In collaborative filtering recommender systems user’s preferences are expressed as ratings for items, and each additional rating extends the knowledge of the system and affects the system’s recommendation accuracy. In general, the more ratings are elicited from the users, the more effective the recommendations are. However, the usefulness of each rating may vary significantly, i.e., different ratings may bring a different amount and type of information about the user’s tastes. Hence, specific techniques, which are defined as “active learning strategies”, can be used to selectively choose the items to be presented to the user for rating. In fact, an active learning strategy identifies and adopts criteria for obtaining data that better reflects users’ preferences and enables to generate better recommendations. So far, a variety of active learning strategies have been proposed in the literature. In this article, we survey recent strategies by grouping them with respect to two distinct dimensions: personalization, i.e., whether the system selected items are different for different users or not, and, hybridization, i.e., whether active learning is guided by a single criterion (heuristic) or by multiple criteria. In addition, we present a comprehensive overview of the evaluation methods and metrics that have been employed by the research community in order to test active learning strategies for collaborative filtering. Finally, we compare the surveyed strategies and provide guidelines for their usage in recommender systems. |
V Rosén; M Thunes; P Haugereid; GS Losnegaard; H Dyvik; P Meurer; G Lyse; Koenraad De Smedt The enrichment of lexical resources through incremental parsebanking Journal Article 2016. BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @article{Rosén2016, title = {The enrichment of lexical resources through incremental parsebanking}, author = {V Rosén and M Thunes and P Haugereid and GS Losnegaard and H Dyvik and P Meurer and G Lyse and Koenraad De Smedt}, url = {https://bora.uib.no/bora-xmlui/handle/1956/15680}, year = {2016}, date = {2016-06-01}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {article} } |
Ignacio Fernandez Tobias; Matthias Braunhofer; Mehdi Elahi; Francesco Ricci; Ivan Cantador Alleviating the new user problem in collaborative filtering by exploiting personality information Journal Article User Modeling and User-Adapted Interaction, 26 (2-3), pp. 221-255, 2016. Abstract | BibTeX | Tags: Active Learning, Cold-start, Collaborative filtering, Cross-domain, Recommender systems, User Personality, WP2: User Modeling Personalization and Engagement | Links: @article{Tobias2016, title = {Alleviating the new user problem in collaborative filtering by exploiting personality information}, author = {Ignacio Fernandez Tobias and Matthias Braunhofer and Mehdi Elahi and Francesco Ricci and Ivan Cantador}, url = {https://www.researchgate.net/publication/285574429_Alleviating_the_New_User_Problem_in_Collaborative_Filtering_by_Exploiting_Personality_Information}, doi = {10.1007/s11257-016-9172-z}, year = {2016}, date = {2016-06-01}, journal = {User Modeling and User-Adapted Interaction}, volume = {26}, number = {2-3}, pages = {221-255}, abstract = {The new user problem in recommender systems is still challenging, and there is not yet a unique solution that can be applied in any domain or situation. In this paper we analyze viable solutions to the new user problem in collaborative filtering (CF) that are based on the exploitation of user personality information: (a) personality-based CF, which directly improves the recommendation prediction model by incorporating user personality information, (b) personality-based active learning, which utilizes personality information for identifying additional useful preference data in the target recommendation domain to be elicited from the user, and (c) personality-based cross-domain recommendation, which exploits personality information to better use user preference data from auxiliary domains which can be used to compensate the lack of user preference data in the target domain. We benchmark the effectiveness of these methods on large datasets that span several domains, namely movies, music and books. Our results show that personality-aware methods achieve performance improvements that range from 6 to 94 % for users completely new to the system, while increasing the novelty of the recommended items by 3–40 % with respect to the non-personalized popularity baseline. We also discuss the limitations of our approach and the situations in which the proposed methods can be better applied, hence providing guidelines for researchers and practitioners in the field.}, keywords = {Active Learning, Cold-start, Collaborative filtering, Cross-domain, Recommender systems, User Personality, WP2: User Modeling Personalization and Engagement}, pubstate = {published}, tppubtype = {article} } The new user problem in recommender systems is still challenging, and there is not yet a unique solution that can be applied in any domain or situation. In this paper we analyze viable solutions to the new user problem in collaborative filtering (CF) that are based on the exploitation of user personality information: (a) personality-based CF, which directly improves the recommendation prediction model by incorporating user personality information, (b) personality-based active learning, which utilizes personality information for identifying additional useful preference data in the target recommendation domain to be elicited from the user, and (c) personality-based cross-domain recommendation, which exploits personality information to better use user preference data from auxiliary domains which can be used to compensate the lack of user preference data in the target domain. We benchmark the effectiveness of these methods on large datasets that span several domains, namely movies, music and books. Our results show that personality-aware methods achieve performance improvements that range from 6 to 94 % for users completely new to the system, while increasing the novelty of the recommended items by 3–40 % with respect to the non-personalized popularity baseline. We also discuss the limitations of our approach and the situations in which the proposed methods can be better applied, hence providing guidelines for researchers and practitioners in the field. |
H Dyvik; P Meurer; V Rosén; Koenraad De Smedt; P Haugereid; GS Losnegaard; G Lyse; M Thunes NorGramBank: A 'Deep' Treebank for Norwegian.Proceedings of LREC Proceeding 2016. BibTeX | Tags: WP5: Norwegian Language Technologies | Links: @proceedings{Dyvik2016, title = {NorGramBank: A 'Deep' Treebank for Norwegian.Proceedings of LREC}, author = {H Dyvik and P Meurer and V Rosén and Koenraad De Smedt and P Haugereid and GS Losnegaard and G Lyse and M Thunes}, url = {https://www.aclweb.org/anthology/L16-1565.pdf}, year = {2016}, date = {2016-05-16}, keywords = {WP5: Norwegian Language Technologies}, pubstate = {published}, tppubtype = {proceedings} } |
Ingar Mæhlum Arntzen; Njål Borch Data-independent sequencing with the timing object: a JavaScript sequencer for single-device and multi-device web media. In Proceedings of the 7th International Conference on Multimedia Systems (MMSys '16) Proceeding 2016. BibTeX | Tags: WP4: Media Content Interaction and Accessibility | Links: @proceedings{Arntzen2016, title = {Data-independent sequencing with the timing object: a JavaScript sequencer for single-device and multi-device web media. In Proceedings of the 7th International Conference on Multimedia Systems (MMSys '16)}, author = {Ingar Mæhlum Arntzen and Njål Borch}, url = {https://www.w3.org/community/webtiming/files/2016/05/mmsys2016slides.pdf}, year = {2016}, date = {2016-05-12}, keywords = {WP4: Media Content Interaction and Accessibility}, pubstate = {published}, tppubtype = {proceedings} } |