Keyword: filter bubbles

Filter bubbles in the Netherlands external link

Möller, J., Helberger, N. & Makhortykh, M.
2019

Abstract

The introduction of algorithmic filtering and artificial intel­ligence in news dissemination has fundamentally changed the way news is consumed and distributed. While there is a clear benefit to the user, by making relevant stories accessi­ble and therefore providing a way forward to manage the information overload, many have expressed concerns that it also leads to atomized societies where citizens are locked in filter bubbles. In this report we set out to answer the ques­tion: Do filter bubbles exist in the Netherlands?

filter bubbles, frontpage, Mediarecht, nederland

Bibtex

Report{Möller2019b, title = {Filter bubbles in the Netherlands}, author = {Möller, J. and Helberger, N. and Makhortykh, M.}, url = {https://www.ivir.nl/publicaties/download/Filter-bubbles-in-the-Netherlands.pdf}, year = {0628}, date = {2019-06-28}, abstract = {The introduction of algorithmic filtering and artificial intel­ligence in news dissemination has fundamentally changed the way news is consumed and distributed. While there is a clear benefit to the user, by making relevant stories accessi­ble and therefore providing a way forward to manage the information overload, many have expressed concerns that it also leads to atomized societies where citizens are locked in filter bubbles. In this report we set out to answer the ques­tion: Do filter bubbles exist in the Netherlands?}, keywords = {filter bubbles, frontpage, Mediarecht, nederland}, }

Filterbubbels in Nederland external link

Möller, J., Helberger, N. & Makhortykh, M.
2019

Abstract

The introduction of algorithmic filtering and artificial intel­ligence in news dissemination has fundamentally changed the way news is consumed and distributed. While there is a clear benefit to the user, by making relevant stories accessi­ble and therefore providing a way forward to manage the information overload, many have expressed concerns that it also leads to atomized societies where citizens are locked in filter bubbles. In this report we set out to answer the ques­tion: Do filter bubbles exist in the Netherlands?

filter bubbles, frontpage, Mediarecht, nederland, nieuws

Bibtex

Report{Möller2019, title = {Filterbubbels in Nederland}, author = {Möller, J. and Helberger, N. and Makhortykh, M.}, url = {https://www.ivir.nl/publicaties/download/Filterbubbels-in-Nederland.pdf}, year = {0520}, date = {2019-05-20}, abstract = {The introduction of algorithmic filtering and artificial intel­ligence in news dissemination has fundamentally changed the way news is consumed and distributed. While there is a clear benefit to the user, by making relevant stories accessi­ble and therefore providing a way forward to manage the information overload, many have expressed concerns that it also leads to atomized societies where citizens are locked in filter bubbles. In this report we set out to answer the ques­tion: Do filter bubbles exist in the Netherlands?}, keywords = {filter bubbles, frontpage, Mediarecht, nederland, nieuws}, }

Beyond the filter bubble: concepts, myths, evidence and issues for future debates external link

Möller, J. & Helberger, N.
2018

Abstract

In recent years, we have been witnessing a fundamental shift in the form how news and current affairs are disseminated and mediated. Due to the exponential increase in available content online and technological development in the field of recommendation systems, more and more citizens are informing themselves through customized and curated sources, while turning away from mass-mediated information sources like TV news and newspapers. Algorithmic recommendation systems provide news users with tools to navigate the information overload and identify important and relevant information. They do so by performing a task that was once a key part of the journalistic profession: keeping the gates. In a way, news recommendation algorithm can create highly individualized gates, through which only information and news fit that serves the user best. In theory, this is a great achievement that can make news exposure more efficient and interesting. In practice, there are many pitfalls when the power to select what we hear from the news shifts from professional editorial boards that select the news according to professional standards to opaque algorithms who are reigned by their own logic, the logic of advertisers or consumes personal preferences.

filter bubbles, Journalistiek, Mediarecht

Bibtex

Report{Möller2018b, title = {Beyond the filter bubble: concepts, myths, evidence and issues for future debates}, author = {Möller, J. and Helberger, N.}, url = {https://www.ivir.nl/publicaties/download/Beyond_the_filter_bubble__concepts_myths_evidence_and_issues_for_future_debates.pdf}, year = {0705}, date = {2018-07-05}, abstract = {In recent years, we have been witnessing a fundamental shift in the form how news and current affairs are disseminated and mediated. Due to the exponential increase in available content online and technological development in the field of recommendation systems, more and more citizens are informing themselves through customized and curated sources, while turning away from mass-mediated information sources like TV news and newspapers. Algorithmic recommendation systems provide news users with tools to navigate the information overload and identify important and relevant information. They do so by performing a task that was once a key part of the journalistic profession: keeping the gates. In a way, news recommendation algorithm can create highly individualized gates, through which only information and news fit that serves the user best. In theory, this is a great achievement that can make news exposure more efficient and interesting. In practice, there are many pitfalls when the power to select what we hear from the news shifts from professional editorial boards that select the news according to professional standards to opaque algorithms who are reigned by their own logic, the logic of advertisers or consumes personal preferences.}, keywords = {filter bubbles, Journalistiek, Mediarecht}, }

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity external link

Möller, J., Trilling, D., Helberger, N. & Es, B. van
Information, Communication & Society, 2018

Abstract

In the debate about filter bubbles caused by algorithmic news recommendation, the conceptualization of the two core concepts in this debate, diversity and algorithms, has received little attention in social scientific research. This paper examines the effect of multiple recommender systems on different diversity dimensions. To this end, it maps different values that diversity can serve, and a respective set of criteria that characterizes a diverse information offer in this particular conception of diversity. We make use of a data set of simulated article recommendations based on actual content of one of the major Dutch broadsheet newspapers and its users (N=21,973 articles, N=500 users). We find that all of the recommendation logics under study proved to lead to a rather diverse set of recommendations that are on par with human editors and that basing recommendations on user histories can substantially increase topic diversity within a recommendation set.

algoritmes, automated content classification, diversity metrics, filter bubbles, frontpage, news, recommender systems

Bibtex

Article{Möller2018, title = {Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity}, author = {Möller, J. and Trilling, D. and Helberger, N. and Es, B. van}, url = {https://www.ivir.nl/publicaties/download/ICS_2018.pdf}, doi = {https://doi.org/https://doi.org/10.1080/1369118X.2018.1444076}, year = {0308}, date = {2018-03-08}, journal = {Information, Communication & Society}, abstract = {In the debate about filter bubbles caused by algorithmic news recommendation, the conceptualization of the two core concepts in this debate, diversity and algorithms, has received little attention in social scientific research. This paper examines the effect of multiple recommender systems on different diversity dimensions. To this end, it maps different values that diversity can serve, and a respective set of criteria that characterizes a diverse information offer in this particular conception of diversity. We make use of a data set of simulated article recommendations based on actual content of one of the major Dutch broadsheet newspapers and its users (N=21,973 articles, N=500 users). We find that all of the recommendation logics under study proved to lead to a rather diverse set of recommendations that are on par with human editors and that basing recommendations on user histories can substantially increase topic diversity within a recommendation set.}, keywords = {algoritmes, automated content classification, diversity metrics, filter bubbles, frontpage, news, recommender systems}, }

Challenged by news personalisation: five perspectives on the right to receive information external link

Eskens, S., Helberger, N. & Möller, J.
Journal of Media Law, vol. 9, num: 2, pp: 259-284, 2017

Abstract

This research asks what the right to receive information means for personalised news consumers and the obligations this rights imposes on states. We develop a framework to understand the right to receive information, starting from case law of the European Court of Human Rights. On this basis, we identify five perspectives on the right to receive information: political debate, truth finding, social cohesion, avoidance of censorship and self-development. We evaluate how these five perspectives inform a legal and policy analysis of news personalisation.

European Convention on Human Rights, filter bubbles, frontpage, media diversity, Media law, news personalisation, right to receive information

Bibtex

Article{Eskens2017, title = {Challenged by news personalisation: five perspectives on the right to receive information}, author = {Eskens, S. and Helberger, N. and Möller, J.}, url = {http://dx.doi.org/10.1080/17577632.2017.1387353}, year = {1107}, date = {2017-11-07}, journal = {Journal of Media Law}, volume = {9}, number = {2}, pages = {259-284}, abstract = {This research asks what the right to receive information means for personalised news consumers and the obligations this rights imposes on states. We develop a framework to understand the right to receive information, starting from case law of the European Court of Human Rights. On this basis, we identify five perspectives on the right to receive information: political debate, truth finding, social cohesion, avoidance of censorship and self-development. We evaluate how these five perspectives inform a legal and policy analysis of news personalisation.}, keywords = {European Convention on Human Rights, filter bubbles, frontpage, media diversity, Media law, news personalisation, right to receive information}, }

Algoritmische verzuiling en filter bubbles: een bedreiging voor de democratie? external link

Zuiderveen Borgesius, F., Trilling, D., Möller, J., Eskens, S., Bodó, B., Vreese, C.H. de & Helberger, N.
Computerrecht, vol. 2016, num: 5, pp: 255-262, 2016

algoritmen, democratie, filter bubbles, nieuws, personalisatie

Bibtex

Article{Borgesius2016b, title = {Algoritmische verzuiling en filter bubbles: een bedreiging voor de democratie?}, author = {Zuiderveen Borgesius, F. and Trilling, D. and Möller, J. and Eskens, S. and Bodó, B. and Vreese, C.H. de and Helberger, N.}, url = {https://www.ivir.nl/publicaties/download/Computerrecht_2016_5.pdf}, year = {1003}, date = {2016-10-03}, journal = {Computerrecht}, volume = {2016}, number = {5}, pages = {255-262}, keywords = {algoritmen, democratie, filter bubbles, nieuws, personalisatie}, }

Exposure diversity as a design principle for recommender systems external link

Helberger, N., Karppinen, K. & D'Acunto, L.
Information, Communication and Society, vol. 2018, num: 2, 2017

Abstract

Personalized recommendations in search engines, social media and also in more traditional media increasingly raise concerns over potentially negative consequences for diversity and the quality of public discourse. The algorithmic filtering and adaption of online content to personal preferences and interests is often associated with a decrease in the diversity of information to which users are exposed. Notwithstanding the question of whether these claims are correct or not, this article discusses whether and how recommendations can also be designed to stimulate more diverse exposure to information and to break potential ‘filter bubbles’ rather than create them. Combining insights from democratic theory, computer science and law, the article makes suggestions for design principles and explores the potential and possible limits of ‘diversity sensitive design’.

autonomy, exposure diversity, filter bubbles, filtering, frontpage, information diversity, medial law, nudging, recommender systems, search enginges, Social media

Bibtex

Article{Helberger2017, title = {Exposure diversity as a design principle for recommender systems}, author = {Helberger, N. and Karppinen, K. and D\'Acunto, L.}, url = {https://www.ivir.nl/publicaties/download/ICS_2016.pdf}, doi = {https://doi.org/10.1080/1369118X.2016.1271900}, year = {0119}, date = {2017-01-19}, journal = {Information, Communication and Society}, volume = {2018}, number = {2}, pages = {}, abstract = {Personalized recommendations in search engines, social media and also in more traditional media increasingly raise concerns over potentially negative consequences for diversity and the quality of public discourse. The algorithmic filtering and adaption of online content to personal preferences and interests is often associated with a decrease in the diversity of information to which users are exposed. Notwithstanding the question of whether these claims are correct or not, this article discusses whether and how recommendations can also be designed to stimulate more diverse exposure to information and to break potential ‘filter bubbles’ rather than create them. Combining insights from democratic theory, computer science and law, the article makes suggestions for design principles and explores the potential and possible limits of ‘diversity sensitive design’.}, keywords = {autonomy, exposure diversity, filter bubbles, filtering, frontpage, information diversity, medial law, nudging, recommender systems, search enginges, Social media}, }