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

被引：4

作者：

Panizo-LLedot, Angel ^{[1
]}

Torregrosa, Javier ^{[2
]}

Bello-Orgaz, Gema ^{[3
]}

Thorburn, Joshua ^{[4
]}

Camacho, David ^{[3
]}

机构：

[1] Univ Autonoma Madrid, Comp Sci Dept, Madrid, Spain

[2] Univ Autonoma Madrid, Biol & Hlth Psychol Dept, Madrid, Spain

[3] Univ Politecn Madrid, Dept Sistemas Informat, Madrid, Spain

[4] RMIT Univ, Melbourne, Vic, Australia

来源：

COMPLEX NETWORKS AND THEIR APPLICATIONS VIII, VOL 2 | 2020年 / 882卷

关键词：

Polarization; Far-right; Community finding; Topic extraction; Political extremism;

D O I：

10.1007/978-3-030-36683-4_35

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 anti-immigration 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.

引用

页码：427 / 439

页数：13

共 19 条

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