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Measuring extremism: Validating an alt-right Twitter accounts dataset

conference contribution
posted on 2024-11-03, 13:30 authored by Joshua Thorburn, Javier Torregrosa, Angel Panizo
Twitter is one of the most commonly used Online Social Networks in the world and it has consequently attracted considerable attention from different political groups attempting to gain influence. Among these groups is the alt-right; a modern far-right extremist movement that gained notoriety in the 2016 US presidential election and the infamous Charlottesville Unite the Right rally. This article details the process used to create a database on Twitter of users associated with this movement, allowing for empirical research into this extremist group to be undertaken. In short, Twitter accounts belonging to leaders and groups associated with the Unite the Right rally in Charlottesville were used to create this database. After compiling users who followed these leading alt-right figures, an initial sample was gathered (n = 549). This sample was then validated by two researchers. This involved using a scoring method created for this process, in order to eliminate any accounts that were not supportive of the alt-right. Finally, a total amount of 422 accounts were found to belong to followers of this extremist movement, with a total amount of 123.295 tweets.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1007/978-3-030-03496-2_2
  2. 2.
    ISSN - Is published in 03029743

Volume

11315 LNCS

Start page

9

End page

14

Total pages

6

Outlet

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Editors

Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros

Name of conference

International Conference on Intelligent Data Engineering and Automated Learning

Publisher

Springer Verlag

Place published

Germany

Start date

2018-11-21

End date

2018-11-23

Language

English

Copyright

© Springer Nature Switzerland AG 2018.

Former Identifier

2006106679

Esploro creation date

2023-12-06

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