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Diversity in News Recommendations

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arxiv 2005.09495 v2 pith:XY6PXGEZ submitted 2020-05-19 cs.CY

classification cs.CY
keywords diversitynewsresearchconceptcreateindustryinterdisciplinarymedia
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Towards Multi-Aspect Diversification of News Recommendations Using Neuro-Symbolic AI for Individual and Societal Benefit

    cs.IR 2025-09 conditional novelty 4.0 of 10

    The paper outlines how to diversify news recommendations across four modes using neuro-symbolic AI, with user studies planned.

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