@article{integratingdigital25,

title = {Integrating Digital Food Nudges and Recommender Systems: Current Status and Future Directions},

author = {Ayoub El Majjodi and Alain D. Starke and Christoph Trattner},

url = {https://mediafutures.no/integrating_digital_food_nudges_and_recommender_systems_current_status_and_future_directions/},

year  = {2025},

date = {2025-07-14},

journal = {IEEE Access},

abstract = {Recommender systems are widely regarded as effective tools for facilitating the discovery of relevant content. In the food domain, they help users find recipes, choose grocery products, and generate meal suggestions. While they address the challenge of choice overload, their direct influence on promoting healthier food choices remains limited. Digital nudges could further assist in guiding users toward healthier decisions, enhancing the accessibility and visibility of healthy options when integrated into a recommender system. This review examines to what extent food recommender systems have so far successfully incorporated digital nudges for healthy food promotion and which challenges still remain. We present a classification and analysis of various digital nudging strategies employed for this purpose, as well as opportunities for future research. We emphasize that various nudging techniques have the potential to support users in making healthier food choices within food recommender systems. Furthermore, user-centric evaluations represent the most effective approach for assessing the performance of these systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Supporting healthier food choices through AI-tailored advice: A research agenda},

author = {Alain D. Starke and Jutta Dierkes and Gülen Arslan Lied and Gloria Anne Babile Kasangu and Christoph Trattner},

url = {https://www.sciencedirect.com/science/article/pii/S2772628225000019},

year  = {2025},

date = {2025-06-11},

journal = {PEC Innovation},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{understanding25,

title = {Understanding news experience: The resonance between content, practices, and situatedness in everyday life},

author = {Marianne Borchgrevink-Brækhus},

url = {https://mediafutures.no/borchgrevink-braekhus-2025-understanding-news-experience-the-resonance-between-content-practices-and-situatedness-in/},

year  = {2025},

date = {2025-01-21},

urldate = {2024-12-21},

journal = {Journalism},

abstract = {People relate to news in highly complex ways. Research on news audiences has identified how content reception, user practices, and spatiotemporal contexts influence relations to news. This study aims to see these dimensions as connected, emphasizing the significance of understanding how news content, practices, and people’s situatedness resonate in the context of everyday life and how this resonance reflects personal identity. Conceptually, the paper employs the concept of news experience as an analytical lens to understand the multilayered nature of how people relate to news. Empirically, six distinct forms of news experience are identified, all in which content, practices, and situatedness resonate differently: Reassurance, control, connection, relaxation, diversion, and stress. Drawing on a Norwegian three-step data collection, including recurring interviews, news diaries, data donations, and video-ethnography from the same informants, the article methodologically contributes to a more profound understanding of the dynamics involved in various forms of news experience.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{NewsDomainusing24,

title = {Examining the Merits of Feature-specific Similarity Functions in the News Domain using Human Judgments},

author = {Alain D. Starke and Vegard R. Solberg and Sebastian Øverhaug Larsen and Christoph Trattner},

url = {https://mediafutures.no/umuai_special_issue_news_similarity-1/},

year  = {2024},

date = {2024-07-27},

urldate = {2024-07-27},

journal = {User Modeling and User-Adapted Interaction},

abstract = {Online news article recommendations are typically of the ‘more like this’ type, generated by similarity functions. Across three studies, we examined the representativeness of different similarity functions for news item retrieval, by comparing them to human judgments of similarity. In Study 1 (N = 401), participants assessed the overall similarity of ten randomly paired news articles on politics, and compared their judgments to different feature-specific similarity functions (e.g., based on body text or images). In Study 2, we checked for domain differences in a mixed-methods survey (N = 45), surfacing evidence that the effectiveness of similarity functions differs across different news categories (‘Recent Events’, ‘Sport’). In Study 3 (N = 173), we improved the design of Study 1, by controlling for how news articles were matched, differentiating between dissimilar news articles and articles that were matched on a shared topic, named entities, and/or date of publication, across ‘Recent Events’ and ‘Sport’ categories.

Across all studies, we found that users mostly used text-based features (e.g., body text, title) for their similarity judgments, while BodyText:TF-IDF was found to be the most representative for their judgments. Moreover, the strength of similarity judgments by humans and similarity scores by feature-specific functions was strongly affected

by how news article pairs were matched. We show that humans and similarity functions are better aligned when two news articles are more alike, such as in a news recommendation scenario.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{biasanas24,

title = {A Survey on Popularity Bias in Recommender Systems},

author = {Anastasiia Klimashevskaia and Dietmar Jannach and Mehdi Elahi and Christoph Trattner},

url = {https://mediafutures.no/popularitybias_literature_review-5/},

year  = {2024},

date = {2024-06-13},

urldate = {2024-06-13},

journal = {User Modeling and User-Adapted Interaction (UMUAI)},

abstract = {Recommender systems help people find relevant content in a personalized way. One main promise of such systems is that they are able to increase the visibility of items in the long tail, i.e., the lesser-

known items in a catalogue. Existing research, however, suggests that in many situations today’s recommendation algorithms instead exhibit a popularity bias, meaning that they often focus on rather popular items in their recommendations. Such a bias may not only lead to the limited value of the recommendations for consumers and providers in the short run, but it may also cause undesired reinforcement effects over time. In this paper, we discuss the potential reasons for popularity bias and review existing approaches to detect, quantify and mitigate popularity bias in

recommender systems. Our survey, therefore, includes both an overview

of the computational metrics used in the literature as well as a review of the main technical approaches to reduce the bias. Furthermore, we critically discuss today’s literature, where we observe that the research is almost entirely based on computational experiments and on certain

assumptions regarding the practical effects of including long-tail items in the recommendations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{AJMS_FT_art_Dahl,

title = {Branding or visual storytelling? How legacy media use visual journalism to reach young people in the age of digitalization},

author = {Peder Haugfos and John Magnus Ragnhildson Dahl and Jan Kratzer and Ines Wolf},

url = {https://mediafutures.no/ajms_ft_art_dahl-3/},

year  = {2024},

date = {2024-01-19},

urldate = {2024-01-19},

journal = {Journal of Applied Journalism & Media Studies},

pages = {1-24},

abstract = {This article discusses how legacy media companies are responding to the real or imagined

challenge of reaching young people in the age of digitalization, by investigating two different

strategies for how to make use of the so-called Generation Z’s preference for sensory

and visual journalism. Through expert interviews, we present how the Norwegian public

broadcaster NRK P3 and the biggest newspaper in Norway, VG, approach the challenge of

catching young people’s attention. We identify two strategies for how legacy media companies

work with visual expressions and designing their digital content when trying to reach

a wide, fragmented young target group on digital platforms. VG is a platform-oriented

storyteller where design is connected to the direction and mode of storytelling and tailored

to fit certain platforms. Their area of focus is being where their target groups are and

meeting the visual expectations of these audiences by taking cues from what is trending on

different platforms. NRK P3 takes the approach of a traditional brander that works in

both visionary and traditional ways to build a strong, trustworthy and visible brand. We

conclude by pointing out possible problems with both approaches.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Modeling news recommender systems’ conditional effects on selective exposure: evidence from two online experiments},

author = {Erik Knudsen},

url = {https://mediafutures.no/jqac047/},

year  = {2023},

date = {2023-12-23},

urldate = {2023-12-23},

journal = {Journal of Communication },

abstract = {Under which conditions do news recommender systems (NRSs) amplify or reduce selective exposure? I provide the Recommender Influenced Selective Exposure framework, which aims to enable researchers to model and study the conditional effects of NRSs on selective exposure. I empirically test this framework by studying user behavior on a news site where the choice environment is designed to systematically influence selective exposure. Through two preregistered online experiments that simulate different NRSs and unobtrusively log user behavior, I contribute empirical evidence that an NRS can increase or decrease the chance that selective exposure occurs, depending on what the NRS is designed to achieve. These insights have implications for ongoing scholarly debates on the democratic impact of NRSs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Borchgrevink-Brækhus2023,

title = {The Burden of Subscribing: How Young People Experience Digital News Subscriptions},

author = {Marianne Borchgrevink-Brækhus and Hallvard Moe },

url = {https://mediafutures.no/the-burden-of-subscribing-how-young-people-experience-digital-news-subscriptions/},

year  = {2023},

date = {2023-04-17},

urldate = {2023-04-17},

journal = {Journalism Studies },

abstract = {This paper analyzes how young non-paying news users experience digital news subscriptions in Norway. As news organizations face

declining advertising revenues, digital subscriptions are considered the sustainable financial strategy of the future, with young people a particularly challenging group to convert. We analyze the experiences of young adults who do not pay for news and identify three key dimensions to why they do not subscribe:

lack of exclusivity, subscriptions as too time-consuming, and unattractive payment models. We also detail how the informants maneuver around paywalls, and we highlight “multiperspectivism” as an overarching concern guiding the informants’ preferences. Empirically, the paper furthers our understanding of

the challenges facing business models for journalism, especially problems with long-term, provider-specific subscriptions. Methodologically, we demonstrate how a combination of recurring interviews and a media diary matching a subscription test period yields a deeper analysis of motivations for, and

experiences with, news use. Theoretically, the paper shows how approaching news through users’ experiences can provide insights not just into what users appreciate from news but also into where they consider there is a lack of value.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Knudsen2023,

title = {How Rally-Round-the-Flag Effects Shape Trust in the News Media: Evidence from Panel Waves before and during the COVID-19 Pandemic Crisis},

author = {Erik Knudsen and Åsta Dyrnes Nordø and Magnus Hoem Iversen},

url = {https://mediafutures.no/how-rally-round-the-flag-effects-shape-trust-in-the-news-media-evidence-from-panel-waves-before-and-during-the-covid-19-pandemic-crisis/},

year  = {2023},

date = {2023-02-23},

urldate = {2023-02-23},

journal = {Political Communication},

abstract = {In this study, we extend the literature on the rally ‘round the flag phenomenon, that is, that international crises tend to cause an increase in citizens’ approval of political institutions. We advance this literature and highlight its relevance for political communication research in three ways: 1) by theorizing and empirically testing two arguments for why rally effects should extend to trust in the news media on the institutional level, 2) by providing empirical evidence on how rally effects on trust in the media develop over time during an international crisis, and 3) by theorizing and testing the conditions under which rally effects on media trust are more likely to occur by studying heterogeneous effects. Through a panel design with a pre-crisis baseline of Norwegian citizens’ trust in news media, we find evidence to suggest that the compound effect of the COVID-19 pandemic crisis caused a long-lasting increase in trust in the news media in Norway, and that the degree of increase varied by citizens’ education and whether they belonged to a “high-risk” group. We also provide evidence to suggest that rally effects on news media trust are contingent on how important the news media is as a source of information about the crisis and the “trust nexus” between media trust and political trust. These insights extend our current understanding of how times of crisis affect trust in the news media.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nokey,

title = {Monitoring the infection rate: Explaining the meaning of metrics in pandemic news experiences},

author = {John Magnus Ragnhildson Dahl and Brita Ytre-Arne},

url = {https://mediafutures.no/john-magnus-and-brita/},

year  = {2023},

date = {2023-01-03},

journal = {Journalism },

abstract = {The COVID-19 pandemic has brought forward questions of what citizens need and want from journalism in a global crisis. In this article, we analyse one particular aspect of pandemic news experiences: Preoccupation with monitoring metrics for COVID-19 infection cases, hospitalisations, and deaths, widely disseminated through journalistic news outlets. We ask why close monitoring of such metrics appeared meaningful to news users, and what these experiences can tell us about the role of journalism in the pandemic information environment. Our analysis draws on qualitative research conducted in Norway in 2020, finding users particularly devoted to monitoring metrics, both in early lockdown and during the second wave of COVID-19. To contextualize our findings, we draw on scholarship on emotional responses to data in the everyday, and on the social role of journalism. We argue that monitoring of infection rates is an expression of trust in the media as a provider of factual information, also expressed by those who are cynical towards other aspects of journalism, and we conceptualise this monitoring practice as a coping strategy to deal with the pandemic as an unknown and uncontrollable threat, involving difficult emotions of uncertainty and fear.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Elahi2022,

title = {Developing and Evaluating a University Recommender System},

author = {Mehdi Elahi and Alain D. Starke and Nabil El Ioini and Anna Alexander Lambrix and Christoph Trattner},

url = {https://www.frontiersin.org/articles/10.3389/frai.2021.796268/full},

doi = {https://doi.org/10.3389/frai.2021.796268},

year  = {2022},

date = {2022-02-02},

journal = {Frontiers in Artificial Intelligence },

abstract = {A challenge for many young adults is to find the right institution to follow higher education. Global university rankings are a commonly used, but inefficient tool, for they do not consider a person's preferences and needs. For example, some persons pursue prestige in their higher education, while others prefer proximity. This paper develops and evaluates a university recommender system, eliciting user preferences as ratings to build predictive models and to generate personalized university ranking lists. In Study 1, we performed offline evaluation on a rating dataset to determine which recommender approaches had the highest predictive value. In Study 2, we selected three algorithms to produce different university recommendation lists in our online tool, asking our users to compare and evaluate them in terms of different metrics (Accuracy, Diversity, Perceived Personalization, Satisfaction, and Novelty). We show that a SVD algorithm scores high on accuracy and perceived personalization, while a KNN algorithm scores better on novelty. We also report findings on preferred university features.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Starke2021,

title = {Nudging Healthy Choices in Food Search Through Visual Attractiveness},

author = {Alain D. Starke and Martijn C. Willemsen and Christoph Trattner},

url = {https://www.frontiersin.org/articles/10.3389/frai.2021.621743/full},

doi = {10.3389/frai.2021.621743},

year  = {2021},

date = {2021-04-22},

number = {April 2021},

pages = {1-18},

abstract = {Recipe websites are becoming increasingly popular to support people in their home cooking. However, most of these websites prioritize popular recipes, which tend to be unhealthy. Drawing upon research on visual biases and nudges, this paper investigates whether healthy food choices can be supported in food search by depicting attractive images alongside recipes, as well as by re-ranking search results on health. After modelling the visual attractiveness of recipe images, we asked 239 users to search for specific online recipes and to select those they liked the most. Our analyses revealed that users tended to choose a healthier recipe if a visually attractive image was depicted alongside it, as well as if it was listed at the top of a list of search results. Even though less popular recipes were promoted this way, it did not come at the cost of a user’s level of satisfaction},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kleut2021,

title = {Framing Protest in Online News and Readers’ Comments: The Case of Serbian Protest “Against Dictatorship”},

author = {Jelena Kleut and Ana Milojevic},

url = {https://www.researchgate.net/publication/348787747_Framing_Protest_in_Online_News_and_Readers\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'_Comments_The_Case_of_Serbian_Protest_Against_Dictatorship},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Communication},

volume = {15},

number = {21},

pages = {82-102},

series = {Not connected to SFI MediaFutures},

abstract = {This research examines the "protest paradigm" in the digital news environment of a politically polarized media system by considering relations between news and online readers' comments about the Serbian protest Against Dictatorship, which was held in 2017. Applying content analysis to news and comments from two news websites, our study indicates the need to account for opposing framing of the protest (violence/peacefulness, de/legitimizing and un/democratic) in a polarized environment. The results show that the distribution of opposing frames is guided by the media relations with the government. Online readers' comments generally enhance this polarized pattern of frame distribution, with the exception of the performance frame, which remains prolific in the media, but absent from readers' comments.},

note = {Pre SFI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Arne2020,

title = {Folk theories of algorithms: Understanding digital irritation},

author = {Brita Ytre-Arne and Hallvard Moe},

year  = {2020},

date = {2020-12-31},

journal = {Media, Culture & Society},

series = {TEST},

note = {Pre SFI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Endriss2020,

title = {The complexity landscape of outcome determination in judgment aggregation},

author = {Ulle Endriss and Ronald de Haan and Jerôme Lang and Marija Slavkovik },

url = {https://www.jair.org/index.php/jair/article/view/11970/26619},

doi = {10.1613/jair.1.11970},

year  = {2020},

date = {2020-11-04},

journal = {Journal of Artificial Intelligence Research},

volume = {69},

pages = {687–731},

abstract = {We provide a comprehensive analysis of the computational complexity of the outcome determinationproblem for the most important aggregation rules proposed in the literature on logic-based judgmentaggregation. Judgment aggregation is a powerful and flexible framework for studying problems ofcollective decision making that has attracted interest in a range of disciplines, including Legal Theory,Philosophy, Economics, Political Science, and Artificial Intelligence. The problem of computing theoutcome for a given list of individual judgments to be aggregated into a single collective judgment isthe most fundamental algorithmic challenge arising in this context. Our analysis applies to severaldifferent variants of the basic framework of judgment aggregation that have been discussed in theliterature, as well as to a new framework that encompasses all existing such frameworks in terms ofexpressive power and representational succinctness.},

note = {Pre SFI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Moe2020,

title = {Operationalizing exposure diversity.},

author = {Hallvard Moe and Jan Fredrik Hovden and Kari Karppinen},

url = {https://journals.sagepub.com/doi/pdf/10.1177/0267323120966849},

doi = {10.1177/0267323120966849},

year  = {2020},

date = {2020-10-29},

journal = {European Journal of Communication},

pages = {1-2},

abstract = {The concept of exposure diversity, the diversity of information that people actually access and use, has recently gained prominence in media policy debates. This aspect of media diversity, however, remains difficult to define, measure or implement in actual policy. In this article, we propose an empirical approach that operationalizes exposure diversity in terms of news and current affairs providers in the media repertoire of different social groups. This can be studied through cluster analysis of survey data on respondents’ combinations of use of different media providers and outlets. The article first discusses exposure diversity as a media policy aim. We then outline our proposal on how to take the debate a step further through empirical analysis of media repertoires, with an illustration of how such an analysis may be conducted using survey data from Norway.},

note = {Pre SFI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Hazrati2020,

title = { Addressing the New Item problem in video recommender systems by incorporation of visual features with restricted Boltzmann machines.},

author = {Naieme Hazrati and Mehdi Elahi},

url = {https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.12645},

doi = {https://doi.org/10.1111/exsy.12645},

year  = {2020},

date = {2020-10-19},

journal = {Expert Systems},

volume = {e12645},

pages = {1-20},

abstract = {Over the past years, the research of video recommender systems (RSs) has been mainly focussed on the development of novel algorithms. Although beneficial, still any algorithm may fail to recommend video items that the system has no form of data associated to them (New Item Cold Start). This problem occurs when a new item is added to the catalogue of the system and no data are available for that item. In content‐based RSs, the video items are typically represented by semantic attributes, when generating recommendations. These attributes require a group of experts or users for annotation, and still, the generated recommendations might not capture a complete picture of the users' preferences, for example, the visual tastes of users on video style. This article addresses this problem by proposing recommendation based on novel visual features that do not require human annotation and can represent visual aspects of video items. We have designed a novel evaluation methodology considering three realistic scenarios, that is, (a) extreme cold start, (b) moderate cold start and (c) warm‐start scenario. We have conducted a set of comprehensive experiments, and our results have shown the superior performance of recommendations based on visual features, in all of the evaluation scenarios.},

note = {Pre SFI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Arne2020b,

title = {Temporal ambivalences in smartphone use: Conflicting flows, conflicting responsibilities.},

author = {Brita Ytre-Arne and Trine Syvertsen and Hallvard Moe and Faltin Karlsen },

url = {https://journals.sagepub.com/doi/pdf/10.1177/1461444820913561},

doi = {10.1177/1461444820913561},

year  = {2020},

date = {2020-09-03},

journal = {New Media and Society},

volume = {22},

number = {9},

pages = {1715–1732},

abstract = {This article explores implications of the central position of the smartphone in an age of constant connectivity. Based on a qualitative study of 50 informants, we ask how users experience and handle temporal ambivalences in everyday smartphone use, drawing on the concepts flow and responsibilization to conceptualize central dimensions of such ambivalences. The notion of conflicting flows illuminates how brief checking cycles expand at the expense of other activities, resulting in a temporal conflict experienced by users. Responsibilization points to how users take individual responsibility for managing such conflicting flows, and to how this practice is difficult and conflict-ridden. We conclude that while individual time management is often framed as the solution to temporal conflicts, such attempts at regulating smartphone use appear inadequate. Our conceptualization of temporal ambivalence offers a more nuanced understanding of why this is the case.},

note = {Pre SFI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Arne2020c,

title = {Audiences’ Communicative Agency in a Datafied Age: Interpretative, Relational and Increasingly Prospective.},

author = {Brita Ytre-Arne and Ranjana Das},

url = {https://watermark.silverchair.com/qtaa018.pdf?token=AQECAHi208BE49Ooan9kkhW_Ercy7Dm3ZL_9Cf3qfKAc485ysgAAAtAwggLMBgkqhkiG9w0BBwagggK9MIICuQIBADCCArIGCSqGSIb3DQEHATAeBglghkgBZQMEAS4wEQQM-cFhCl8ql-5yUsJoAgEQgIICg0JoOiOVaCIdOstGjiiVpYuTKzqRfP7Hb1L0JBUB7TMpOQ5ya4v7afXtJvvTasi126A8qHSxK2rDZfeWFajUD34XXIbXVfimKI-a7-dZNYNjF6xn9p5OzsBABo10PuVtS5bHE4B3RSURKpRgGKXIyem7o-HzoTgKWKxJjRuOEVJNX4XjUC9-D9C7f8n3BItvYkMJqiX8NRSmuM3MI1MmhCjjtrUEOaURe-mCNKonobiYtkdoywElD9W7SG0ZQg9nigzcJmEH36Rbf3jzaGMMQhOsTv0NCAFwm52wxxeqt1jlSX6GmjMPmwTTmhZNGPE-sD0j3VZEfzqZNb5RqOBv2tih20z3kz2mBAU_25OlUThhSQ_G9-dNMVfVsuKMbo6TnS8EUotKdlWDmmenYUmQdHFx6KHA2mFn3j0AYyqz9Kolc2HeSSu4JJhZMZGHIUkNVC5c-GPPCzpO4D5pCT3pNw2d4mK037ziOWPOKcr29Ak2sJlQ05rcn4NovqBWrNIeRQRuhlVyNI7nr7bIXXFMwogvhFttUt3IxH68cYD6nNQ1Gbtl2BwygLseOwrwZA_6irZcqueVtAwqzMchowERFcKR8gMPKyDiDGPfbbKMNvqeHeIvemaQSLnfLM7Lfj9-OYtxOgF6CxZTrbOcCTUVpnvwTIZO1Oq2amSRBEb2lCORDiegqrxTitstUZ141VXW5bId94vwLuZqPoYA58nNcF0_2WzAOB69owF5B7D_ofDUTA2tBAhuvcvwKpAB5t_bhLDscuVfVGcYi5azd06oQ9PJWPV5EigzleuyHR57_cVyPpYkXe-PimZJ6iZzEhnmYZE0v9A_9F2LYm9dwfEryznsCog},

doi = {10.1093/ct/qtaa018},

issn = {1050–3293},

year  = {2020},

date = {2020-08-24},

journal = {Communication Theory},

volume = {0},

number = {C},

pages = {1-19},

abstract = {This article develops a conceptualization of audience agency in the face of datafication. We consider how people, as audiences and users of media and technologies, face transforming communicative conditions, and how these conditions challenge the power potentials of audiences in processes of communication—that is, their communicative agency. To develop our conceptualization, we unpack the concept of audiences’ communicative agency by examining its foundations in communication scholarship, in reception theory and sociology, arguing that agency is understood as interpretative and relational, and applied to make important normative assessments. We further draw on emerging scholarship on encounters with data in the everyday to discuss how audience agency is now challenged by datafication, arguing that communicative agency is increasingly prospective in a datafied age. Thereby, we provide a theoretical conceptualization for further analysis of audiences in transforming communicative conditions.},

note = {Pre SFI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}