• Corpus ID: 226289992

# Competitive Influence Propagation and Fake News Mitigation in the Presence of Strong User Bias

@article{Saxena2020CompetitiveIP,
title={Competitive Influence Propagation and Fake News Mitigation in the Presence of Strong User Bias},
author={Akrati Saxena and Harsh Saxena and Ralucca Gera},
journal={ArXiv},
year={2020},
volume={abs/2011.04857}
}
• Published 10 November 2020
• Computer Science
• ArXiv
Due to the extensive role of social networks in social media, it is easy for people to share the news, and it spreads faster than ever before. These platforms also have been exploited to share the rumor or fake information, which is a threat to society. One method to reduce the impact of fake information is making people aware of the correct information based on hard proof. In this work, first, we propose a propagation model called Competitive Independent Cascade Model with users' Bias (CICMB…
1 Citations

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