So called ‘sock puppets’ are multiple social media accounts which are actually controlled by a single person. They’re a pain and the pain is getting worse — as we discovered in 2016 — because they can have a distorting impact on online discourse.
But now comes some good news. New Scientist reports that researchers have developed some tools that can detect these pests with reasonable accuracy.
[Srijan] Kumar and his colleagues at the University of Maryland and Stanford University in California analysed commenter accounts on news websites including CNN, NPR, Breitbart and Fox News. They identified the sock puppets by finding accounts that posted from the same IP address in the same discussion at similar times. This approach isn’t always possible, so they wanted to develop a tool that automatically detects sock puppets based only on publicly accessible posting data.
They found that sock puppets contribute poorer quality content, writing shorter posts that are often downvoted or reported by other users. They post on more controversial topics, spend more time replying to other users and are more abusive. Worryingly, their posts are also more likely to be read and they are often central to their communities, generating a lot of activity.
Based on their findings, the researchers created a machine learning tool that can detect if two accounts belong to the same person 91 per cent of the time. Another tool can distinguish between a regular account and a sock puppet with 68 per cent accuracy. The research will be presented this week at the World Wide Web Conference in Perth, Australia.