The personal information sphere: An integral approach to privacy and related information and communication rights external link

JASIST, vol. 71, num: 9, pp: 1116-1128, 2020

Abstract

Data protection laws, including the European Union General Data Protection Regulation, regulate aspects of online personalization. However, the data protection lens is too narrow to analyze personalization. To define conditions for personalization, we should understand data protection in its larger fundamental rights context, starting with the closely connected right to privacy. If the right to privacy is considered along with other European fundamental rights that protect information and communication flows, namely, communications confidentiality; the right to receive information; and freedom of expression, opinion, and thought, these rights are observed to enable what I call a “personal information sphere” for each person. This notion highlights how privacy interferences affect other fundamental rights. The personal information sphere is grounded in European case law and is thus not just an academic affair. The essence of the personal information sphere is control, yet with a different meaning than mere control as guaranteed by data protection law. The personal information sphere is about people controlling how they situate themselves in information and communication networks. It follows that, to respect privacy and related rights, online personalization providers should actively involve users in the personalization process and enable them to use personalization for personal goals.

Data protection law, frontpage, Fundamental rights, personalization, Privacy

Bibtex

Article{Eskens2020, title = {The personal information sphere: An integral approach to privacy and related information and communication rights}, author = {Eskens, S.}, url = {https://www.ivir.nl/publicaties/download/jasist_2020.pdf}, doi = {https://doi.org/https://doi.org/10.1002/asi.24354}, year = {0320}, date = {2020-03-20}, journal = {JASIST}, volume = {71}, number = {9}, pages = {1116-1128}, abstract = {Data protection laws, including the European Union General Data Protection Regulation, regulate aspects of online personalization. However, the data protection lens is too narrow to analyze personalization. To define conditions for personalization, we should understand data protection in its larger fundamental rights context, starting with the closely connected right to privacy. If the right to privacy is considered along with other European fundamental rights that protect information and communication flows, namely, communications confidentiality; the right to receive information; and freedom of expression, opinion, and thought, these rights are observed to enable what I call a “personal information sphere” for each person. This notion highlights how privacy interferences affect other fundamental rights. The personal information sphere is grounded in European case law and is thus not just an academic affair. The essence of the personal information sphere is control, yet with a different meaning than mere control as guaranteed by data protection law. The personal information sphere is about people controlling how they situate themselves in information and communication networks. It follows that, to respect privacy and related rights, online personalization providers should actively involve users in the personalization process and enable them to use personalization for personal goals.}, keywords = {Data protection law, frontpage, Fundamental rights, personalization, Privacy}, }

Selling News to Audiences – A Qualitative Inquiry into the Emerging Logics of Algorithmic News Personalization in European Quality News Media external link

Digital Journalism, vol. 7, num: 8, pp: 1054-1075, 2019

Abstract

How do news organizations design and implement algorithmically personalized news services? We conducted 16 in-depth interviews with professionals working in European public service broadcasting and commercial quality news media to answer this question. The news business is undergoing rapid transformations regarding how news production is financed, how news is produced and delivered to audiences and how citizens consume news. In all of these changes algorithmic recommender systems play a role. We focus on news organizations’ own personalized news services, and analyze how they define the role of personalization in contributing to the financial success of the organization, in reaching and retaining audiences, and in fulfilling their editorial mission. We interviewed editors, journalists, technologists and business intelligence and publishing professionals to gain a structural understanding of the often conflicting goals of personalization. We found that rather than focusing on increasing short-term user engagement, European quality news media try to use news personalization to increase long-term audience loyalty. In distinction to the “platform logic of personalization”, which uses personalization to produce engagement and sell audiences to advertisers, they have developed a “news logic of personalization”, which uses personalization to sell news to audiences.

algorithmic news recommenders, business models, European news media, frontpage, interviews, Mediarecht, personalization

Bibtex

Article{Bodó2019d, title = {Selling News to Audiences – A Qualitative Inquiry into the Emerging Logics of Algorithmic News Personalization in European Quality News Media}, author = {Bodó, B.}, url = {https://doi.org/10.1080/21670811.2019.1624185}, year = {0620}, date = {2019-06-20}, journal = {Digital Journalism}, volume = {7}, number = {8}, pages = {1054-1075}, abstract = {How do news organizations design and implement algorithmically personalized news services? We conducted 16 in-depth interviews with professionals working in European public service broadcasting and commercial quality news media to answer this question. The news business is undergoing rapid transformations regarding how news production is financed, how news is produced and delivered to audiences and how citizens consume news. In all of these changes algorithmic recommender systems play a role. We focus on news organizations’ own personalized news services, and analyze how they define the role of personalization in contributing to the financial success of the organization, in reaching and retaining audiences, and in fulfilling their editorial mission. We interviewed editors, journalists, technologists and business intelligence and publishing professionals to gain a structural understanding of the often conflicting goals of personalization. We found that rather than focusing on increasing short-term user engagement, European quality news media try to use news personalization to increase long-term audience loyalty. In distinction to the “platform logic of personalization”, which uses personalization to produce engagement and sell audiences to advertisers, they have developed a “news logic of personalization”, which uses personalization to sell news to audiences.}, keywords = {algorithmic news recommenders, business models, European news media, frontpage, interviews, Mediarecht, personalization}, }

Interested in diversity: The role of user attitudes, algorithmic feedback loops, and policy in news personalization external link

Digital Journalism, vol. 7, num: 2, pp: 206-229, 2019

Abstract

Using survey evidence from the Netherlands, we explore the factors that influence news readers’ attitudes toward news personalization. We show that the value of personalization depends on commonly overlooked factors, such as concerns about a shared news sphere, and the diversity of recommendations. However, these expectations are not universal. Younger, less educated users are more exposed to personalized news and show little concern about diverse news recommendations. Quality news organizations that pursue reader loyalty and trust are incentivized to implement personalization algorithms that aim for diversity and high quality recommendations. However, some users are in danger of being left out of this positive feedback loop. We make specific policy suggestions regarding how to solve that issue.

frontpage, Mediarecht, news, personalization, survey, the netherlands, user attitudes

Bibtex

Article{Bodó2019, title = {Interested in diversity: The role of user attitudes, algorithmic feedback loops, and policy in news personalization}, author = {Bodó, B. and Helberger, N. and Eskens, S. and Möller, J.}, url = {https://www.tandfonline.com/doi/full/10.1080/21670811.2018.1521292}, doi = {https://doi.org/10.1080/21670811.2018.1521292}, year = {0108}, date = {2019-01-08}, journal = {Digital Journalism}, volume = {7}, number = {2}, pages = {206-229}, abstract = {Using survey evidence from the Netherlands, we explore the factors that influence news readers’ attitudes toward news personalization. We show that the value of personalization depends on commonly overlooked factors, such as concerns about a shared news sphere, and the diversity of recommendations. However, these expectations are not universal. Younger, less educated users are more exposed to personalized news and show little concern about diverse news recommendations. Quality news organizations that pursue reader loyalty and trust are incentivized to implement personalization algorithms that aim for diversity and high quality recommendations. However, some users are in danger of being left out of this positive feedback loop. We make specific policy suggestions regarding how to solve that issue.}, keywords = {frontpage, Mediarecht, news, personalization, survey, the netherlands, user attitudes}, }

My Friends, Editors, Algorithms, and I: Examining audience attitudes to news selection external link

Thurman, N., Möller, J., Helberger, N. & Trilling, D.
Digital Journalism, vol. 2018, 2018

Abstract

Prompted by the ongoing development of content personalization by social networks and mainstream news brands, and recent debates about balancing algorithmic and editorial selection, this study explores what audiences think about news selection mechanisms and why. Analysing data from a 26-country survey (N = 53,314), we report the extent to which audiences believe story selection by editors and story selection by algorithms are good ways to get news online and, using multi-level models, explore the relationships that exist between individuals’ characteristics and those beliefs. The results show that, collectively, audiences believe algorithmic selection guided by a user’s past consumption behaviour is a better way to get news than editorial curation. There are, however, significant variations in these beliefs at the individual level. Age, trust in news, concerns about privacy, mobile news access, paying for news, and six other variables had effects. Our results are partly in line with current general theory on algorithmic appreciation, but diverge in our findings on the relative appreciation of algorithms and experts, and in how the appreciation of algorithms can differ according to the data that drive them. We believe this divergence is partly due to our study’s focus on news, showing algorithmic appreciation has context-specific characteristics.

algoritmes, curation, filtering, frontpage, gatekeeping, Journalistiek, Mediarecht, personalization, recommender systems, user tracking

Bibtex

Article{Thurman2018, title = {My Friends, Editors, Algorithms, and I: Examining audience attitudes to news selection}, author = {Thurman, N. and Möller, J. and Helberger, N. and Trilling, D.}, url = {https://doi.org/10.1080/21670811.2018.1493936}, year = {1019}, date = {2018-10-19}, journal = {Digital Journalism}, volume = {2018}, pages = {}, abstract = {Prompted by the ongoing development of content personalization by social networks and mainstream news brands, and recent debates about balancing algorithmic and editorial selection, this study explores what audiences think about news selection mechanisms and why. Analysing data from a 26-country survey (N = 53,314), we report the extent to which audiences believe story selection by editors and story selection by algorithms are good ways to get news online and, using multi-level models, explore the relationships that exist between individuals’ characteristics and those beliefs. The results show that, collectively, audiences believe algorithmic selection guided by a user’s past consumption behaviour is a better way to get news than editorial curation. There are, however, significant variations in these beliefs at the individual level. Age, trust in news, concerns about privacy, mobile news access, paying for news, and six other variables had effects. Our results are partly in line with current general theory on algorithmic appreciation, but diverge in our findings on the relative appreciation of algorithms and experts, and in how the appreciation of algorithms can differ according to the data that drive them. We believe this divergence is partly due to our study’s focus on news, showing algorithmic appreciation has context-specific characteristics.}, keywords = {algoritmes, curation, filtering, frontpage, gatekeeping, Journalistiek, Mediarecht, personalization, recommender systems, user tracking}, }