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Diversity in News Recommender Systems

Author: 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., & Züger, T.
Published in: Dagstuhl Manifestos, 9(1), 43-61
Year: 2021
Type: Academic articles
DOI: 10.4230/DagMan.9.1.43

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.

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Connected HIIG researchers

Christian Katzenbach, Dr.

Forschungsprogrammleiter: Die Entwicklung der digitalen Gesellschaft

Theresa Züger, Dr.

Forschungsgruppenleiterin Public Interest AI | Co-Projektleitung AI & Society Lab


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