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Diversity in News Recommendation
- Source :
- Bernstein, A, de Vreese, C, Helberger, N, Schulz, W, Zweig, K, Baden, C, Beam, M A, Hauer, M P, Heitz, L, Jürgens, P, Katzenbach, C, Kille, B, Klimkiewicz, B, Loosen, W, Moeller, J, Radanovic, G, Shani, G, Tintarev, N, Tolmeijer, S, van Atteveldt, W, Vrijenhoek, S & Zueger, T 2021, ' Diversity in news recommendation ', arXiv, vol. 9, no. 1, 2005.09495, pp. 43-61 . < https://arxiv.org/abs/2005.09495 >, Dagstuhl Manifestos, Dagstuhl Perspectives Workshop 19482: Diversity in News Recommendation, Vrije Universiteit Amsterdam, arXiv, 9(1):2005.09495, 43-61. Cornell University
- Publication Year :
- 2021
- Publisher :
- Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021.
-
Abstract
- News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Today, people increasingly rely on online content and recommender systems to consume information challenging the traditional concept of news diversity. In addition, the very concept of diversity, which differs between disciplines, will need to be re-evaluated requiring an interdisciplinary investigation, which requires a new level of mutual cooperation between computer scientists, social scientists, and legal scholars. Based on the outcome of a interdisciplinary workshop, we have the following recommendations, directed at researchers, funders, legislators, regulators, and the media industry: - Conduct interdisciplinary research on news recommenders and diversity. - Create a safe harbor for academic research with industry data. - Strengthen the role of public values in news recommenders. - Create a meaningful governance framework for news recommenders. - Fund a joint lab to spearhead the needed interdisciplinary research, boost practical innovation, develop reference solutions, and transfer insights into practice.<br />DagMan, Volume 9, Issue 1, pages 43-61
- Subjects :
- FOS: Computer and information sciences
Diversity
Human-centered computing → Empirical studies in HCI
Information systems → Digital libraries and archives
News
Information systems → Web services
Applied computing → Economics
diversity
Computer Science - Computers and Society
Applied computing → Sociology
Human-centered computing → HCI theory, concepts and models
SDG 17 - Partnerships for the Goals
H.3.3
Computers and Society (cs.CY)
Information systems → Information retrieval diversity
Recommender systems
Applied computing → Psychology
recommender systems
Subjects
Details
- Language :
- English
- ISSN :
- 23318422
- Database :
- OpenAIRE
- Journal :
- Bernstein, A, de Vreese, C, Helberger, N, Schulz, W, Zweig, K, Baden, C, Beam, M A, Hauer, M P, Heitz, L, Jürgens, P, Katzenbach, C, Kille, B, Klimkiewicz, B, Loosen, W, Moeller, J, Radanovic, G, Shani, G, Tintarev, N, Tolmeijer, S, van Atteveldt, W, Vrijenhoek, S & Zueger, T 2021, ' Diversity in news recommendation ', arXiv, vol. 9, no. 1, 2005.09495, pp. 43-61 . < https://arxiv.org/abs/2005.09495 >, Dagstuhl Manifestos, Dagstuhl Perspectives Workshop 19482: Diversity in News Recommendation, Vrije Universiteit Amsterdam, arXiv, 9(1):2005.09495, 43-61. Cornell University
- Accession number :
- edsair.doi.dedup.....d59b38a700da3cff201c94af4246e36b
- Full Text :
- https://doi.org/10.4230/dagman.9.1.43