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The algorithmic state of mind : a human rights frame for governing news recommendation

(2022)
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Abstract
In recent years, online news distributors (online news media, social media, search engines and news aggregators) started engaging in ‘news recommendation’ practices. This means that they deploy recommender systems to curate users’ news overviews. Such systems automatically (de)select and (de)prioritise items to be displayed in user interfaces, thus deciding which ones are visible (to whom) and in what order. This research asks whether news recommendation has any negative and/or positive implications in terms of human rights, by creating risks and/or opportunities for their enjoyment. Where there is a risk, the use of recommender systems may require regulation. In case of an opportunity, such systems could potentially be used as a tool to achieve public policy goals. Against that backdrop, this dissertation establishes a human rights frame for governing news recommendation.
Keywords
News recommendation, human rights, EU law

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Please use this url to cite or link to this publication:

MLA
Vermeulen, Judith. The Algorithmic State of Mind : A Human Rights Frame for Governing News Recommendation. Ghent University. Faculty of Law and Criminology, 2022.
APA
Vermeulen, J. (2022). The algorithmic state of mind : a human rights frame for governing news recommendation. Ghent University. Faculty of Law and Criminology, Ghent, Belgium.
Chicago author-date
Vermeulen, Judith. 2022. “The Algorithmic State of Mind : A Human Rights Frame for Governing News Recommendation.” Ghent, Belgium: Ghent University. Faculty of Law and Criminology.
Chicago author-date (all authors)
Vermeulen, Judith. 2022. “The Algorithmic State of Mind : A Human Rights Frame for Governing News Recommendation.” Ghent, Belgium: Ghent University. Faculty of Law and Criminology.
Vancouver
1.
Vermeulen J. The algorithmic state of mind : a human rights frame for governing news recommendation. [Ghent, Belgium]: Ghent University. Faculty of Law and Criminology; 2022.
IEEE
[1]
J. Vermeulen, “The algorithmic state of mind : a human rights frame for governing news recommendation,” Ghent University. Faculty of Law and Criminology, Ghent, Belgium, 2022.
@phdthesis{8763895,
  abstract     = {{In recent years, online news distributors (online news media, social media, search engines and news aggregators) started engaging in ‘news recommendation’ practices. This means that they deploy recommender systems to curate users’ news overviews. Such systems automatically (de)select and (de)prioritise items to be displayed in user interfaces, thus deciding which ones are visible (to whom) and in what order.

This research asks whether news recommendation has any negative and/or positive implications in terms of human rights, by creating risks and/or opportunities for their enjoyment. Where there is a risk, the use of recommender systems may require regulation. In case of an opportunity, such systems could potentially be used as a tool to achieve public policy goals. Against that backdrop, this dissertation establishes a human rights frame for governing news recommendation.}},
  author       = {{Vermeulen, Judith}},
  keywords     = {{News recommendation,human rights,EU law}},
  language     = {{eng}},
  pages        = {{276}},
  publisher    = {{Ghent University. Faculty of Law and Criminology}},
  school       = {{Ghent University}},
  title        = {{The algorithmic state of mind : a human rights frame for governing news recommendation}},
  year         = {{2022}},
}