CED: Credible Early Detection of Social Media Rumors

IEEE Transactions on Knowledge and Data Engineering(2021)

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摘要
Rumors spread dramatically fast through online social media services, and people are exploring methods to detect rumors automatically. Existing methods typically learn semantic representations of all reposts to a rumor candidate for prediction. However, it is crucial to efficiently detect rumors as early as possible before they cause severe social disruption, which has not been well addressed by p...
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关键词
Social networking (online),Feature extraction,Predictive models,Reliability,Recurrent neural networks,Convolutional neural networks
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