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Access diversity through online news media and public service algorithms : an analysis of news recommendation in light of article 10 ECHR

Judith Vermeulen (UGent)
(2022) The algorithmic distribution of news : policy responses. In Palgrave Global Media Policy and Business p.269-287
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Abstract
Online news recommendation technologies are said to have the potential to either decrease or increase diversity in news consumption. The design of recommender systems could accordingly, and regardless of explicit user choices (content as sought), impact the diversity of content as recommended (‘access diversity’), and thereby the diversity of content as consumed (‘exposure diversity’). This chapter argues that Article 10 of the European Convention on Human Rights requires States to guarantee that citizens can receive a diversity of viewpoints concerning matters of general interest via digital (news) channels. In that context, it proposes a requirement for online news media to not engage in implicit homepage personalisation (by default) on the one hand, and the use of so-called diversity-enhancing algorithms, both by public broadcaster online news brands and a newly established public service news aggregator, on the other.
Keywords
News recommendation, media pluralism, access diversity, right to receive information and ideas, Article 10 ECHR

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MLA
Vermeulen, Judith. “Access Diversity through Online News Media and Public Service Algorithms : An Analysis of News Recommendation in Light of Article 10 ECHR.” The Algorithmic Distribution of News : Policy Responses, edited by James Meese and Sara Bannerman, Palgrave Macmillan, 2022, pp. 269–87, doi:10.1007/978-3-030-87086-7_14.
APA
Vermeulen, J. (2022). Access diversity through online news media and public service algorithms : an analysis of news recommendation in light of article 10 ECHR. In J. Meese & S. Bannerman (Eds.), The algorithmic distribution of news : policy responses (pp. 269–287). https://doi.org/10.1007/978-3-030-87086-7_14
Chicago author-date
Vermeulen, Judith. 2022. “Access Diversity through Online News Media and Public Service Algorithms : An Analysis of News Recommendation in Light of Article 10 ECHR.” In The Algorithmic Distribution of News : Policy Responses, edited by James Meese and Sara Bannerman, 269–87. Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-030-87086-7_14.
Chicago author-date (all authors)
Vermeulen, Judith. 2022. “Access Diversity through Online News Media and Public Service Algorithms : An Analysis of News Recommendation in Light of Article 10 ECHR.” In The Algorithmic Distribution of News : Policy Responses, ed by. James Meese and Sara Bannerman, 269–287. Cham: Palgrave Macmillan. doi:10.1007/978-3-030-87086-7_14.
Vancouver
1.
Vermeulen J. Access diversity through online news media and public service algorithms : an analysis of news recommendation in light of article 10 ECHR. In: Meese J, Bannerman S, editors. The algorithmic distribution of news : policy responses. Cham: Palgrave Macmillan; 2022. p. 269–87.
IEEE
[1]
J. Vermeulen, “Access diversity through online news media and public service algorithms : an analysis of news recommendation in light of article 10 ECHR,” in The algorithmic distribution of news : policy responses, J. Meese and S. Bannerman, Eds. Cham: Palgrave Macmillan, 2022, pp. 269–287.
@incollection{8769431,
  abstract     = {{Online news recommendation technologies are said to have the potential to either decrease or increase diversity in news consumption. The design of recommender systems could accordingly, and regardless of explicit user choices (content as sought), impact the diversity of content as recommended (‘access diversity’), and thereby the diversity of content as consumed (‘exposure diversity’). This chapter argues that Article 10 of the European Convention on Human Rights requires States to guarantee that citizens can receive a diversity of viewpoints concerning matters of general interest via digital (news) channels. In that context, it proposes a requirement for online news media to not engage in implicit homepage personalisation (by default) on the one hand, and the use of so-called diversity-enhancing algorithms, both by public broadcaster online news brands and a newly established public service news aggregator, on the other.}},
  author       = {{Vermeulen, Judith}},
  booktitle    = {{The algorithmic distribution of news : policy responses}},
  editor       = {{Meese, James and Bannerman, Sara}},
  isbn         = {{9783030870850}},
  issn         = {{2634-6192}},
  keywords     = {{News recommendation,media pluralism,access diversity,right to receive information and ideas,Article 10 ECHR}},
  language     = {{eng}},
  pages        = {{269--287}},
  publisher    = {{Palgrave Macmillan}},
  series       = {{Palgrave Global Media Policy and Business}},
  title        = {{Access diversity through online news media and public service algorithms : an analysis of news recommendation in light of article 10 ECHR}},
  url          = {{http://doi.org/10.1007/978-3-030-87086-7_14}},
  year         = {{2022}},
}
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