Classifying Tweet Level Judgements of Rumours in Social Media

Understand

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.