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Register a new userClassifying Tweet Level Judgements of Rumours in Social Media
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Added by
Michal Lukasik
Publication date
2015
fields
Informatics Engineering
and research's language is
English
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Social media is a rich source of rumours and corresponding community reactions. Rumours reflect different characteristics, some shared and some individual. We formulate the problem of classifying tweet level judgements of rumours as a supervised learning task. Both supervised and unsupervised domain adaptation are considered, in which tweets from a rumour are classified on the basis of other annotated rumours. We demonstrate how multi-task learning helps achieve good results on rumours from the 2011 England riots.
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