Detect Rumors Using Time Series of Social Context Information on Microblogging Websites

ACM International Conference on Information and Knowledge Management, 2015.

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Abstract:

Automatically identifying rumors from online social media especially microblogging websites is an important research issue. Most of existing work for rumor detection focuses on modeling features related to microblog contents, users and propagation patterns, but ignore the importance of the variation of these social context features during...More

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