Analyzing the relationship between relevance and extremist discourse in an alt-right network on Twitter

Torregrosa, Javier; Panizo-LLedot, Ańgel; Bello-Orgaz, Gema; Camacho, David

doi:10.1007/s13278-020-00676-1

Cited by 15 publications

(17 citation statements)

References 29 publications

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“…( 2015 , 2020 ); Torregrosa et al. ( 2020 ); Wei et al. ( 2016 ); Wei and Singh ( 2018 ); Alizadeh et al.…”

Section: Nlp Techniques For Extremism Researchmentioning

confidence: 99%

“…( 2019 , 2020 ); Torregrosa et al. ( 2020 ); Wei and Singh ( 2018 ); Fernandez et al. ( 2018 ); Smith et al.…”

Section: Nlp Techniques For Extremism Researchmentioning

confidence: 99%

“…( 2020 ); Torregrosa et al. ( 2020 ); Araque and Iglesias ( 2020 ); Scrivens et al. ( 2020 ); Wei et al.…”

Section: Nlp Techniques For Extremism Researchmentioning

confidence: 99%

“…( 2009 ); Torregrosa et al. ( 2020 ); Wignell et al. ( 2018 ); Macnair and Frank ( 2018 ); Chen ( 2008 ); Scrivens et al.…”

Section: Applications Of Nlp In Extremism Researchmentioning

confidence: 99%

“…Focusing now on the reviewed works that conduct a descriptive analysis of the terms most commonly used by far-right extremism, and following the same structure as with religious extremism, we find different insights: Terms: An article analyzing an Alt-right community (Torregrosa et al. 2020 ) reported that they used racist (BlackMagic, WhitesLivesMatter), anti-immmigration (BuildTheWall, IllegalAliens) supremacist (WhiteGenocide, WhitePeople, ChasingDownWhites) and anti-left (AntifaTerrorists) terms and hashtags in their tweets. This work also exposed the use of specific slang to refer to other racial minorities, such as “aliens” to refer to immigrants.…”

Section: Applications Of Nlp In Extremism Researchmentioning

confidence: 99%

See 4 more Smart Citations

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

Torregrosa

Bello-Orgaz

Martínez‐Cámara

et al. 2022

J Ambient Intell Human Comput

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Extremism has grown as a global problem for society in recent years, especially after the apparition of movements such as jihadism. This and other extremist groups have taken advantage of different approaches, such as the use of Social Media, to spread their ideology, promote their acts and recruit followers. The extremist discourse, therefore, is reflected on the language used by these groups. Natural language processing (NLP) provides a way of detecting this type of content, and several authors make use of it to describe and discriminate the discourse held by these groups, with the final objective of detecting and preventing its spread. Following this approach, this survey aims to review the contributions of NLP to the field of extremism research, providing the reader with a comprehensive picture of the state of the art of this research area. The content includes a first conceptualization of the term extremism, the elements that compose an extremist discourse and the differences with other terms. After that, a review description and comparison of the frequently used NLP techniques is presented, including how they were applied, the insights they provided, the most frequently used NLP software tools, descriptive and classification applications, and the availability of datasets and data sources for research. Finally, research questions are approached and answered with highlights from the review, while future trends, challenges and directions derived from these highlights are suggested towards stimulating further research in this exciting research area.

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“…( 2015 , 2020 ); Torregrosa et al. ( 2020 ); Wei et al. ( 2016 ); Wei and Singh ( 2018 ); Alizadeh et al.…”

Section: Nlp Techniques For Extremism Researchmentioning

confidence: 99%

“…( 2019 , 2020 ); Torregrosa et al. ( 2020 ); Wei and Singh ( 2018 ); Fernandez et al. ( 2018 ); Smith et al.…”

Section: Nlp Techniques For Extremism Researchmentioning

confidence: 99%

“…( 2020 ); Torregrosa et al. ( 2020 ); Araque and Iglesias ( 2020 ); Scrivens et al. ( 2020 ); Wei et al.…”

Section: Nlp Techniques For Extremism Researchmentioning

confidence: 99%

“…( 2009 ); Torregrosa et al. ( 2020 ); Wignell et al. ( 2018 ); Macnair and Frank ( 2018 ); Chen ( 2008 ); Scrivens et al.…”

Section: Applications Of Nlp In Extremism Researchmentioning

confidence: 99%

Section: Applications Of Nlp In Extremism Researchmentioning

confidence: 99%

See 3 more Smart Citations

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

Torregrosa

Bello-Orgaz

Martínez‐Cámara

et al. 2022

J Ambient Intell Human Comput

Self Cite

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Measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User with the Pick-Up Artist Community

Torregrosa,

Panizo-LLedot,

D’Antonio-Maceiras

et al. 2023

Lecture Notes in Computer Science

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A Mixed Approach for Aggressive Political Discourse Analysis on Twitter

et al. 2022

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Political tensions have grown throughout Europe since the beginning of the new century. The consecutive crises led to the rise of different social movements in several countries, in which the political status quo changed. These changes included an increment of the different tensions underlying politics, as has been reported after many other political and economical crises during the twentieth century. This article proposes the study of the political discourse, and its underlying tension, during Madrid’s elections (Spain) in May 2021 by using a mixed approach . To demonstrate if an aggressive tone is used during the campaign, a mixed methodology approach is applied: quantitative computational techniques, related to natural language processing, are used to conduct a first general analysis of the information screened; then, these methods are used for detecting specific trends that can be later filtered and analyzed using a qualitative approach (content analysis), which is also conducted to extract insights about the information found. The main outcomes of this study show that the electoral campaign is not as negative as perceived by the citizens and that there was no relationship between the tone of the discourse and its dissemination. The analysis confirms that the most ideologically extreme parties tend to have a more aggressive language than the moderate ones. The content analysis carried out using our methodology showed that Twitter is used as a sentiment thermometer more than as a way of communicating concrete politics.

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Analyzing the relationship between relevance and extremist discourse in an alt-right network on Twitter

Cited by 15 publications

References 29 publications

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

A survey on extremism analysis using natural language processing: definitions, literature review, trends and challenges

Measuring the Relationship Between the Use of Typical Manosphere Discourse and the Engagement of a User with the Pick-Up Artist Community

A Mixed Approach for Aggressive Political Discourse Analysis on Twitter

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