 | ||||||||
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.
Associate Professor Richi Nayak, Professor Nicolas Suzor and research fellow Dr Md Abul Bashar from QUT have developed a sophisticated and accurate algorithm to detect these posts on Twitter, cutting through the raucous rabble of millions of tweets to identify misogynistic content.
The research paper can be read here. This page list some of the media coverage on this research.
