Detect Rumors on Twitter by Promoting Information Campaigns with Generative Adversarial Learning

WWW '19: The Web Conference San Francisco CA USA May, 2019, pp. 3049-3055, 2019.

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Abstract:

Rumors can cause devastating consequences to individual and/or society. Analysis shows that widespread of rumors typically results from deliberately promoted information campaigns which aim to shape collective opinions on the concerned news events. In this paper, we attempt to fight such chaos with itself to make automatic rumor detection...More

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