An Analysis of Credibility of Content on Twitter
Journal Title: GRD Journal for Engineering - Year 2017, Vol 2, Issue 5
Abstract
We analyze the information credibility of news propagated through Twitter, a popular microblogging service. Previous research has shown that most of the messages posted on Twitter are truthful, but the service is also used to spread misinformation and false rumors, often unintentionally. Specifically, we analyze microblog postings related to “trending” topics, and classify them as credible or not credible, based on features extracted from them. We use features from users’ posting and re-posting (“re-tweeting”) behavior, from the text of the posts, and from citations to external sources. Our results show that there are measurable differences in the way messages propagate, that can be used to classify them automatically as credible or not credible.
Authors and Affiliations
Dr. Bhoomi Gupta, Shivani Shukla
Keywords
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