Here are the books, scholarly articles, conference papers, and public writing from our team.

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|

ICA 2018 Papers

Robert Gorwa and Doug Guilbeault will be representing the team and presenting a new paper at ICA 2018 in Prague. What are the challenges facing bot research today? How can policymakers tackle the new era of disinformation, if the very concept of what 'bots' are ...

2018-02-15T09:51:24+00:00 January 26th, 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+00:00 December 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+00:00 December 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+00:00 December 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+00:00 December 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 ...

2017-12-14T11:36:55+00:00 December 14th, 2017|Academic Articles, Journal Special Issues|

Harvesting Social Signals to Inform Peace Processes Implementation and Monitoring

Abstract: Peace processes are complex, protracted, and contentious involving significant bargaining and compromising among various societal and political stakeholders. In civil war terminations, it is pertinent to measure the pulse of the nation to ensure that the peace process is responsive to citizens’ concerns. Social media ...

2017-12-14T11:31:58+00:00 December 14th, 2017|Academic Articles, Journal Special Issues|