Paper: Rumor has it: Identifying Misinformation in Microblogs

ACL ID D11-1147
Title Rumor has it: Identifying Misinformation in Microblogs
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2011
Authors

A rumor is commonly defined as a state- ment whose true value is unverifiable. Ru- mors may spread misinformation (false infor- mation) or disinformation (deliberately false information) on a network of people. Identi- fying rumors is crucial in online social media where large amounts of information are easily spread across a large network by sources with unverified authority. In this paper, we address the problem of rumor detection in microblogs and explore the effectiveness of 3 categories of features: content-based, network-based, and microblog-specific memes for correctly iden- tifying rumors. Moreover, we show how these features are also effective in identifying disin- formers, users who endorse a rumor and fur- ther help it to spread. We perform our exper- iments on more than 10,000 ...