Academic Articles

//Academic Articles

What is platform governance?

The article 'What is platform governance?' by Robert Gorwa was published in Information, Communication & Society, with support from the Computational Propaganda Project.  ABSTRACT: Following a host of high-profile scandals, the political influence of platform companies (the global corporations that that operate online ‘platforms’ such ...

2019-02-13T16:13:23+00:00February 11th, 2019|Academic Articles, Research|

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+00:00September 5th, 2018|Academic Articles, Research|

Unpacking the Social Media Bot: A Typology to Guide Research and Policy

Robert Gorwa and Doug Guilbeault published a new article in the forthcoming special issue of Policy & Internet.  Abstract Amid widespread reports of digital influence operations during major elections, policymakers, scholars, and journalists have become increasingly interested in the political impact of social media bots. Most ...

2018-09-07T22:09:53+00:00August 11th, 2018|Academic Articles, Research|

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 ...

2018-07-29T21:34:26+00:00April 15th, 2018|Academic Articles|

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+00:00December 14th, 2017|Academic Articles, Journal Special Issues|

Social Bots: Human-Like by Means of Human Control?

Abstract: Social bots are currently regarded an influential but also somewhat mysterious factor in public discourse and opinion making. They are considered to be capable of massively distributing propaganda in social and online media, and their application is even suspected to be partly responsible for recent ...

2017-12-14T11:44:56+00:00December 14th, 2017|Academic Articles, Journal Special Issues|

Japan’s 2014 General Election: Political Bots, Right-Wing Internet Activism, and Prime Minister Shinzō Abe’s Hidden Nationalist Agenda

Abstract: In this article, we present results on the identification and behavioral analysis of social bots in a sample of 542,584 Tweets, collected before and after Japan’s 2014 general election. Typical forms of bot activity include massive Retweeting and repeated posting of (nearly) the same message, ...

2017-12-14T11:42:29+00:00December 14th, 2017|Academic Articles, Journal Special Issues|

Detecting Bots on Russian Political Twitter

Abstract: Automated and semiautomated Twitter accounts, bots, have recently gained significant public attention due to their potential interference in the political realm. In this study, we develop a methodology for detecting bots on Twitter using an ensemble of classifiers and apply it to study bot activity ...

2017-12-14T11:40:08+00:00December 14th, 2017|Academic Articles, Journal Special Issues|

Improving Predictive Accuracy in Elections

Abstract: The problem of accurately predicting vote counts in elections is considered in this article. Typically, small-sample polls are used to estimate or predict election outcomes. In this study, a machine-learning hybrid approach is proposed. This approach utilizes multiple sets of static data sources, such as ...

2018-07-29T21:35:47+00:00December 14th, 2017|Academic Articles, Journal Special Issues|