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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|

Junk News on Military Affairs and National Security

Social media provides political news and information for both active duty military personnel and veterans. We analyze the subgroups of Twitter and Facebook users who spend time consuming junk news from websites that target US military personnel and veterans with conspiracy theories, misinformation, and other ...

2018-01-31T16:11:44+00:00 October 9th, 2017|Working Papers & Data Memos|

Social Media, News and Political Information during the US Election: Was Polarizing Content Concentrated in Swing States?

US voters shared large volumes of polarizing political news and information in the form of links to content from Russian, WikiLeaks and junk news sources. Was this low quality political information distributed evenly around the country, or concentrated in swing states and particular parts of ...

2018-01-31T16:17:51+00:00 September 28th, 2017|Working Papers & Data Memos|

Computational Propaganda in the United States of America: Manufacturing Consensus Online

As part of our new country case study series, project members Sam Woolley and Doug Guilbeault investigated the use of bots and other false amplifiers in the US. Abstract: Do bots have the capacity to influence the flow of political information over social media? This ...

2017-06-19T08:33:38+00:00 June 19th, 2017|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 ...

2017-03-26T23:45:10+00:00 March 26th, 2017|Working Papers & Data Memos|

Bots and Automation over Twitter during the U.S. Election

Bots are social media accounts that automate interaction with other users, and political bots have been particularly active on public policy issues, political crises, and elections. We collected data on bot activity using the major hashtags related to the U.S. Presidential Election. We find that ...

2016-11-17T10:06:36+00:00 November 17th, 2016|Working Papers & Data Memos|

Bots and Automation over Twitter during the Third U.S. Presidential Debate

Bots are social media accounts that automate interaction with other users, and political bots have been particularly active on public policy issues, political crises, and elections. We collected data on bot activity using the major hashtags related to the third U.S. Presidential debate. We find ...

2016-10-31T06:37:30+00:00 October 31st, 2016|Working Papers & Data Memos|

Bots and Automation over Twitter during the Second U.S. Presidential Debate

Bots are social media accounts that automate interaction with other users, and political bots have been particularly active on public policy issues, political crises, and elections. We collected data on bot activity using the major hashtags related to the U.S. Presidential debate. In this brief ...

2016-10-19T12:46:20+00:00 October 19th, 2016|Working Papers & Data Memos|

Bots and Automation over Twitter during the First U.S. Presidential Debate

Bots are social media accounts that automate interaction with other users, and political bots have been particularly active on public policy issues, political crises, and elections. We collected data on bot activity using the major hashtags related to the U.S. Presidential debate. In this brief ...

2016-10-18T04:06:51+00:00 October 18th, 2016|Working Papers & Data Memos|