Gillian Bolsover

/Tag:Gillian Bolsover

Chinese computational propaganda: automation, algorithms and the manipulation of information about Chinese politics on Twitter and Weibo

A new article by former project Post-Doc Gillian Bolsover and PI Phil Howard was published in Information, Communication, and Society. ABSTRACT A 2016 review of literature about automation, algorithms and politics identified China as the foremost area in which further research was needed because of ...

2018-09-07T22:05:01+00:00 September 5th, 2018|Academic Articles, Research|

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|

Computational Propaganda in China: An Alternative Model of a Widespread Practice

As part of our new country case study series, project member Gillian Bolsever investigated bots and other false amplifiers in China. Abstract: Computational propaganda is a growing issue in Western democracies, with evidence of online opinion manipulation orchestrated by robots, fake accounts and misinformation in ...

2017-06-19T08:30:09+00:00 June 19th, 2017|Working Papers & Data Memos|

Junk News and Bots during the French Presidential Election (Round II)

Computational propaganda distributes large amounts of misinformation about politics and public policy over social media platforms. The combination of automation and propaganda can significantly impact public opinion during important policy debates, elections, and political crises. We collected Twitter data on bot activity and junk news ...

2017-05-05T11:55:11+00:00 May 5th, 2017|Research, Working Papers & Data Memos|

Junk News and Bots during the French Presidential Election (Round I)

Computational propaganda distributes large amounts of misinformation about politics and public policy over social media platforms. The combination of automation and propaganda can significantly impact public opinion during important policy debates, elections, and political crises. We collected Twitter data on bot activity and junk news ...

2017-04-21T11:37:58+00:00 April 21st, 2017|Research, Working Papers & Data Memos|

Junk News and Bots during the U.S. Election: What Were Michigan Voters Sharing Over Twitter?

Computational propaganda distributes large amounts of misinformation about politics and public policy over social media platforms. The combination of automation and propaganda can significantly impact public opinion during important policy debates, elections, and political crises. We collected data on automation and junk news using major ...

2018-07-29T21:41:05+00:00 March 26th, 2017|Working Papers & Data Memos|

Call for Papers: Special Issue on Computational Propaganda and Political Big Data

We are pleased to announce a special issue of the journal Big Data dedicated to computational propaganda. This special issue is guest edited by project members Professor Phil Howard and Gillian Bolsover. The deadline for submission is 1 June, 2017 for publication in December 2017. ...

2017-01-17T05:44:53+00:00 January 17th, 2017|Academic Articles, Journal Special Issues|