Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders?
Author:
Affiliation:
1. ISISTAN, CONICET-UNICEN, Argentina
2. OSOME, Indiana University, United States
Funder
Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación
Consejo Nacional de Investigaciones Científicas y Técnicas
Publisher
ACM
Reference27 articles.
1. Banafsheh Behzad Bhavana Bheem Daniela Elizondo Deyana Marsh and Susan Martonosi. 2021. Prevalence and Propagation of Fake News. arXiv preprint arXiv:2106.09586(2021). Banafsheh Behzad Bhavana Bheem Daniela Elizondo Deyana Marsh and Susan Martonosi. 2021. Prevalence and Propagation of Fake News. arXiv preprint arXiv:2106.09586(2021).
2. Fast unfolding of communities in large networks
3. Nonlinearq-voter model
4. Federico Cinus , Marco Minici , Corrado Monti , and Francesco Bonchi . 2022 . The Effect of People Recommenders on Echo Chambers and Polarization . Proceedings of the International AAAI Conference on Web and Social Media 16 , 1 (May 2022), 90–101. https://ojs.aaai.org/index.php/ICWSM/article/view/19275 Federico Cinus, Marco Minici, Corrado Monti, and Francesco Bonchi. 2022. The Effect of People Recommenders on Echo Chambers and Polarization. Proceedings of the International AAAI Conference on Web and Social Media 16, 1 (May 2022), 90–101. https://ojs.aaai.org/index.php/ICWSM/article/view/19275
5. Quantifying echo chamber effects in information spreading over political communication networks
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