CED: Credible Early Detection of Social Media Rumors
IEEE Transactions on Knowledge and Data Engineering(2021)
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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