Phil Howard

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Algorithms, bots, and political communication in the US 2016 election

A new article by Phil Howard, Sam Woolley, and Ryan Calo was published in the Journal of Information Technology and Politics.   Algorithms, bots, and political communication in the US 2016 election: The challenge of automated political communication for election law and administration Political communication ...

2018-04-15T05:02:36+00:00 April 15th, 2018|Academic Articles|

Coverage: Polarization, Partisanship, and Junk News

The latest data memo by Vidya Narayanan, Vlad Barash, John Kelly, Bence Kollanyi, Lisa-Maria Neudert, and Phil Howard received extensive international coverage, including: The Guardian Washington Post Financial Times Newsweek McClatchy Mother Jones The Independent Toronto Star The Week Huffington Post Psychology Today   It also kicked ...

2018-02-15T09:52:50+00:00 February 11th, 2018|In the News|

Polarization, Partisanship and Junk News Consumption over Social Media in the US

What kinds of social media users read junk news? We examine the distribution of the most significant sources of junk news in the three months before President Donald Trump’s first State of the Union Address. Drawing on a list of sources that consistently publish political ...

2018-02-08T14:37:56+00:00 February 6th, 2018|Research, Working Papers & Data Memos|

Computational Propaganda and Political Big Data: Moving Toward a More Critical Research Agenda

Computational propaganda has recently exploded into public consciousness. The U.S. presidential campaign of 2016 was marred by evidence, which continues to emerge, of targeted political propaganda and the use of bots to distribute political messages on social media. This computational propaganda is both a social ...

2017-12-14T11:49:45+00:00 December 14th, 2017|Academic Articles, Journal Special Issues|

Russian propaganda engaged U.S. vets, troops on Twitter and Facebook, study finds

The project's research on social media operations targeted against veterans was covered by McClatchy. The Oxford study categorized 12,413 Twitter users and 11,103 Facebook users whose social media messages referred to or carried content from one or more of the Russian-linked websites between April 2 ...

2017-10-11T12:54:47+00:00 October 11th, 2017|In the News|