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The document discusses methods for inferring account credibility in social media to combat misinformation by analyzing information diffusion patterns through two networks: the reshare network and the bipartite account-source network. The authors extend network centrality measures and graph embedding techniques, demonstrating that these trust networks provide valuable signals for estimating credibility with high accuracy. The findings reveal that accounts sharing similar content or sources tend to exhibit si

Author

Acostos

Language

EN