A third of pro-Trump tweets are generated by bots
The project’s work into the 2016 US election was covered by CNN.
University researchers who track political activity on Twitter have found that traffic on pro-Trump hashtags was twice as high as pro-Clinton hashtags during the first presidential debate. But the team of academics, led by Oxford University professor Philip Howard, also found that 33% of pro-Trump traffic was driven by bots and highly automated accounts, compared to 22% for Clinton.
Bots are automated social media accounts that interact with other users. Some are able to answer basic questions and serve a customer service function, but they can also be used to spam and harass people.
Note: This post was originally published on the Political Bots research blog on . It might have been updated since then in its original location. The post gives the views of the author(s), and not necessarily the position of the Oxford Internet Institute.