Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset

Thorburn, Joshua; Torregrosa, Javier; Panizo, Ángel

doi:10.1007/978-3-030-03496-2_2

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…Intuitively, extremism is defined as supporting beliefs that are extreme, although extremism covers a broad and complex range of social phenomena [5] and refers to attitudes that are unacceptable to the general perception of the society. An important point to note is that defining extremism as a process or concept suffers from a lack of consensus within the sociology field itself [6]. Several authors pointed in to the fluid nature of extremism, including a verity of discourses from revisionists, racists, skinheads and extremist hooligans, nationalists or identity-based groups, paramilitary, xenophobic or anti-migrant groups [7].…”

Section: A Extremist Content Onlinementioning

confidence: 99%

Comparison of Classification Techniques for Extremism Detection in French Social Media

Dragos,

Constable

2023

2023 26th International Conference on Information Fusion (FUSION)

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With social platforms being used by an increasing number of users, the Internet became a perfect place for extremist ideas and opinions to be created and propagated. Detection of extremist content can be an asset for security agencies but it comes with technical challenges and requires semi-automatic approaches, as reading the sheer amount of data released online is an impossible task for analysts. This paper investigates the use of learning models to detect extremist content in French corpora and focuses on right-wing extremist detection. Several learning models have been developed including unsupervised approaches and neural ones. The models were applied to a data set gleaned online. Experiments show that data representation and parameters of models may affect the overall performance and extremist content can be accurately detected when parameters and thresholds are tuned correctly. These results are novel as they contribute to the analysis of social data conveying extremist ideas in French.

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Section: A Extremist Content Onlinementioning

confidence: 99%

Comparison of Classification Techniques for Extremism Detection in French Social Media

Dragos,

Constable

2023

2023 26th International Conference on Information Fusion (FUSION)

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“…In addition to the text of each tweet, information such as publication date, retweets or hashtags was gathered. The selected alt-right Twitter accounts were chosen from a dataset created by Thorburn, Torregrosa and Panizo [6]. The alt-right users published between 2 and 2590 tweets during the data collection period.…”

Section: Data Descriptionmentioning

confidence: 99%

“…Similarly, alt-right supporters commonly use racist language to describe immigrants, much like other far right groups [5]. Indeed, the alt-right has popularised the use of white supremacist hashtags such as "#ItsOkToBeWhite, or #WhiteGenocide [6]. Supporters of the alt-right frequently attack minorities and are especially hostile towards black people, Jews and Muslims.…”

Section: Alt-right Discoursementioning

confidence: 99%

Describing Alt-Right Communities and Their Discourse on Twitter During the 2018 US Mid-term Elections

Panizo-LLedot

Torregrosa

Bello-Orgaz

et al. 2019

Complex Networks and Their Applications VIII

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The alt-right is a far-right movement that has uniquely developed on social media, before becoming prominent in the 2016 United States presidential elections. However, very little research exists about their discourse and organization online. This study aimed to analyze how a sample of alt-right supporters organized themselves in the week before and after the 2018 midterm elections in the US, along with which topics they most frequently discussed. Using community finding and topic extraction algorithms, results indicated that the sample commonly used racist language and antiimmigration themes, criticised mainstream media and advocated for alternative media sources, whilst also engaging in discussion of current news stories. A subsection of alt-right supporters were found to focus heavily on white supremacist themes. Furthermore, small groups of alt-right supporters discussed anime, technology and religion. These results supported previous results from studies investigating the discourse of alt-right supporters.

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“…It is distributed under the terms of the Creative Commons Attribution 4.0 (CC BY) License which permits use, distribution and reproduction in any medium, provided the original work is properly cited. populist and far-right movements all over the world, 1,2 the socio-political context has experienced a change that has deeply a®ected the society. Both the political discourse and citizen worries have also changed.…”

Section: Introductionmentioning

confidence: 99%

Improving Youngsters’ Resilience Through Video Game-Based Interventions

Menéndez-Ferreira

Torregrosa

Panizo-LLedot

et al. 2020

Vietnam J. Comp. Sci.

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Radicalization, as a violent form of extremism, is a growing problem for Europe. Currently, it is possible to find extreme ideologies regarding almost every topic such as religion, politics or sports. This problem, which ranges from personal identity conflicts to complex societal issues, has an impact on several people everyday, especially on youngsters. To confront this situation, the European Union found several initiatives, as a way to face this problem from a scientific perspective. Some of these initiatives face the problem trying to reduce radicalization by working on personal and social skills through education, in such a way the youngster’s resilience is improved. This paper aims to present YoungRes, a European project whose goal is to improve the resilience of youngsters. To do so, it unifies an already created intervention — named Fortius — through the inclusion of video games in the learning process. This paper describes both: (1) how the Fortius program is modified to allow video games sessions and (2) the software architecture designed to allow students and educators to participate in YoungRes project. Finally, different suggestions to include in future versions of the game are discussed.

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Measuring Extremism: Validating an Alt-Right Twitter Accounts Dataset

Cited by 7 publications

References 4 publications

Comparison of Classification Techniques for Extremism Detection in French Social Media

Comparison of Classification Techniques for Extremism Detection in French Social Media

Describing Alt-Right Communities and Their Discourse on Twitter During the 2018 US Mid-term Elections

Improving Youngsters’ Resilience Through Video Game-Based Interventions

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