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Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums
2017
RANLP 2017 - Recent Advances in Natural Language Processing Meet Deep Learning
We address information credibility in community forums, in a setting in which the credibility of an answer posted in a question thread by a particular user has to be predicted. First, we motivate the problem and we create a publicly available annotated English corpus by crowdsourcing. Second, we propose a large set of features to predict the credibility of the answers. The features model the user, the answer, the question, the thread as a whole, and the interaction between them. Our experiments
doi:10.26615/978-954-452-049-6_072
dblp:conf/ranlp/NakovMMSK17
fatcat:2am7ru342jbkzmvclsq4iqhn7y