Analysing the Effect of Recommendation Algorithms on the Spread of Misinformation

Author:

Fernandez Miriam1ORCID,Bellogín Alejandro2ORCID,Cantador Iván2ORCID

Affiliation:

1. Knowledge Media Institute, The Open University, United Kingdom

2. Departamento de Ingeniería Informática, Universidad Autónoma de Madrid, Spain

Funder

Spanish Ministry of Science and Innovation

European Union

Publisher

ACM

Reference79 articles.

1. Gediminas Adomavicius and Alexander Tuzhilin. 2015. Context-Aware Recommender Systems. In Recommender Systems Handbook, Francesco Ricci, Lior Rokach, and Bracha Shapira (Eds.). Springer, 191–226.

2. Fake news, disinformation and misinformation in social media: a review

3. Fabio Aiolli. 2013. Efficient top-n recommendation for very large scale binary rated datasets. In Proceedings of RecSys. ACM, 273–280.

4. Trends in the diffusion of misinformation on social media

5. Xavier Amatriain and Justin Basilico. 2015. Recommender Systems in Industry: A Netflix Case Study. In Recommender Systems Handbook, Francesco Ricci, Lior Rokach, and Bracha Shapira (Eds.). Springer, 385–419.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analyzing the Interplay between Diversity of News Recommendations and Misinformation Spread in Social Media;Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization;2024-06-27

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