The Computational Propaganda Project

Oxford Internet Institute, University of Oxford

Digital Mudslingers (in German)

The project’s research into the 2016 US election was covered in Der Speigel. Automatische Bots verzerren politische Diskussionen in sozialen Netzwerken und können Wahlen beeinflussen. Die Kanzlerin hält sie für gefährlich, die AfD will sie einsetzen. Read the full article here (in German).

One in four debate tweets comes from a bot. Here’s how to spot them.

The project’s research into the US presidential election was featured in the Washington Post. Philip Howard has a fancy name for partisan election bots. He calls them “computational propaganda” — and lately, he sees them a lot. On Oct. 14, the Oxford University professor released a paper dissecting bot activity after the first American presidential…

Continue Reading

Q13 TV: Social Media Bots During the Elections

Our Director of Research Sam Woolley appeared on Seattle’s Q13 television channel to discuss the potential effect of bots on the US election.    

Donald Trump support during presidential debate was inflated by bots, professor says

The project’s work into the 2016 US election was covered in the Independent. Many of the Twitter users supporting Donald Trump after the presidential debates were bots, according to a new analysis. More than four times as many tweets came from automated accounts that supported Mr Trump than they did backing Hillary Clinton, according to…

Continue Reading

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%…

Continue Reading

US election: experts fear Twitter bots could spread lies and sway voters

The project’s research into the 2016 US election was covered in I-News. Few would disagree that Donald Trump’s supporters are enthusiastic on Twitter. And during the first US presidential debate against rival Hillary Clinton, it was no different. Millions of tweets were sent out by people commentating on the heated head-to-head.But a new study has…

Continue Reading

Trump’s Twitter debate lead was ‘swelled by bots’

The project’s research into the US election and presidential debates was covered in the BBC. More than four times as many tweets were made by automated accounts in favour of Donald Trump around the first US presidential debate as by those backing Hillary Clinton, a study says. The investigation was led by Prof Philip Howard,…

Continue Reading

Donald Trump Twitter Bot Announces Candidacy For President

The project’s research into the 2016 US election was covered in Newsweek. Donald Trump’s use of fourth grade-level language may be a powerful rhetorical tool, but his linguistic austerity has opened him up to a modern form of mockery: the Twitter bot. … It is not the first instance of Twitter bots appearing in the…

Continue Reading

A Twitter Bot Imitates Donald Trump in order to Attack him Better (Un « bot » Twitter imite Donald Trump pour mieux le dénoncer)

The project’s research into the 2016 US Election was featured in Le Monde. Mais Donald Trump sait lui aussi tirer profit des bots. Le chercheur d’Oxford Philip Howard, qui s’intéresse à la « propagande computationnelle », a analysé les tweets publiés autour du débat entre les deux candidats à la présidentielle américaine, rapporte la BBC. Selon ses travaux, 32,7 % des tweets…

Continue Reading

Inside Trump’s ‘cyborg’ Twitter army

The project’s research into the 2016 US election was covered in Politico. “The bot nets usually turn whatever the issue is back on Hillary,” said Phil Howard, a professor at Oxford University’s Internet Institute and the principal investigator at the Computational Propaganda Project, which has closely tracked the networks. Howard has noted the same pattern…

Continue Reading

1 7 8 9 10 11