Internet

A novel strategy for quickly identifying twitter trolls

Two algorithms that account for distinctive use of repeated words and word pairs require as few as 50 tweets to accurately distinguish deceptive "troll" messages from those posted by public figures. Sergei Monakhov of Friedrich ...

Computer Sciences

Algorithm could quash Twitter abuse of women

Online abuse targeting women, including threats of harm or sexual violence, has proliferated across all social media platforms but QUT researchers have developed a statistical model to help drum it out of the Twittersphere.

Computer Sciences

Vaccine attitudes detected in tweets by AI model

People's attitudes towards vaccines can now be detected from their social media posts by an intelligent AI model, developed by researchers at the University of Warwick.

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