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Understanding Inciting Speech as New Malice

Datos Bibliográficos

ID22106963
AutoresVaibhav Garg (0000-0001-8264-7489, Virginia Tech), Ganning Xu (0009-0002-1780-549X, Georgia Institute of Technology), Munindar P Singh (0000-0003-3599-3893, North Carolina State University)
Año2025
Volumen12
Número3
Páginas947-956
Fecha de publicación2025-06-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaIEEE Transactions on Computational Social Systems (JOURNAL)
Identificadores de la revistaISSN: 2329-924X • E-ISSN: 2373-7476
EditorialInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/tcss.2024.3504357
OpenAlexW4406856939
IdiomaEN
Referencias citadas39

Inciting speech seeks to instill hostility or anger in readers or motivate them to take action against a target group. Whereas hate speech in social media has garnered much attention, inciting speech has not been well studied in domains such as religion. We address two aspects of religious incitement: 1) what rhetorical strategies are used in it?; and 2) do the same strategies apply across disparate social contexts and targets? We identify inciting speech against Muslims but demonstrate the generality of the construct vis à vis other targets. We adopt existing datasets of Islamophobic WhatsApp posts and hateful and offensive posts (Twitter and Gab) against other targets. Our methods include: 1) qualitative analysis revealing rhetorical strategies; and 2) an iterative process to label the data, yielding a tool to detect incitement. Incitement applies three rhetorical strategies focused, respectively, on the target group's identity, their imputed misdeeds, and an exhortation to act against them. These strategies carry distinct textual signatures. Our tool (with additional verification) reveals that inciting sentences appear in non-Islamophobic posts and in other contexts (e.g., posts against certain gender identities), indicating the generality of incitement as a concept. Incitement reflects a wide swath of malicious speech omitted from traditional analyses. Understanding and identifying incitement can facilitate online moderation and thus concomitantly reduce harm in real life

Malice · Political science · Speech recognition · Computer Science · Law · Law in Society and Culture

  • NewsSlant

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  • Hate Speech and Its Harms

    Open Access•Clay Calvert•Journal of Communication•1997

  • A Coefficient of Agreement for Nominal Scales

    Open Access•Jacob Cohen•Educational and Psychological…•1960

  • Individual Differences in Responses to Provocation and Frequent Victimization by Peers

    Open Access•Kelly M Champion, Daniel L Clay•Child Psychiatry & Human…•2006

  • Detecting weak and strong Islamophobic hate speech on social media

    Bertie Vidgen, Taha Yasseri•Journal of Information Technology…•2019

  • Theorizing Provocation Narratives as Communication Strategies

    Open Access•Sandrine Boudana, Elad Segev•Communication Theory•2017

  • Thematic Analysis

    Open Access•Lorelli Nowell, Jill M Norris et al.•International Journal of…•2017

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