Year: 2020
Type: preprint
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 a interdisciplinary investigation, which requires a new level of mutual cooperation between computer scientists, social scientists, and legal scholars. Based on the outcome of a multidisciplinary workshop, we have the following recommendations, directed at researchers, funders, legislators, regulators, and the media industry: 1. Do more research on news recommenders and diversity. 2. Create a safe harbor for academic research with industry data. 3. Optimize the role of public values in news recommenders. 4. Create a meaningful governance framework. 5. Fund a joint lab to spearhead the needed interdisciplinary research, boost practical innovation, develop. reference solutions, and transfer insights into practice.
Source: arXiv (Cornell University)
Authors: Bernstein, Abraham, de Vreese, Claes, Helberger, Natali, Schulz, Wolfgang, Zweig, Katharina, Baden, Christian, Beam, Michael A., Hauer, Marc P., Heitz, Lucien, Jürgens, Pascal, Katzenbach, Christian, Kille, Benjamin, Klimkiewicz, Beate, Loosen, Wiebke, Moeller, Judith, Radanovic, Goran, Shani, Guy, Tintarev, Nava, Tolmeijer, Suzanne, van Atteveldt, Wouter, Vrijenhoek, Sanne, Zueger, Theresa
Institutions: University of Zurich, University of Amsterdam, Universität Hamburg, University of Kaiserslautern, Hebrew University of Jerusalem, Kent State University, Johannes Gutenberg University Mainz, Alexander von Humboldt Institute for Internet and Society, Technische Universität Berlin, Jagiellonian University, Hans-Bredow-Institute, Max Planck Institute for Software Systems, Ben-Gurion University of the Negev, Maastricht University, Vrije Universiteit Amsterdam
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funders: Technische Universität Kaiserslautern, Kent State University, Universiteit van Amsterdam, Technische Universiteit Delft, Vrije Universiteit Amsterdam, Hebrew University of Jerusalem, Johannes Gutenberg-Universität Mainz, Universität Hamburg, Universität Zürich, Technische Universität Berlin, Leibniz-Gemeinschaft
OpenAlex ID: W3028525590