Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Understanding Inciting Speech as New Malice

Dados 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)
Ano2025
Volume12
Fascículo3
Páginas947-956
Data de publicação2025-06-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoIEEE Transactions on Computational Social Systems (JOURNAL)
Identificadores do periódicoISSN: 2329-924X • E-ISSN: 2373-7476
EditoraInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/tcss.2024.3504357
OpenAlexW4406856939
IdiomaEN
Referências 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

    Open Access•Amanul Haque, Munindar P Singh•IEEE Transactions on Computational…•2024

  • 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

Velocidade de citaçãohistorical
Altamente citadoNão
Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae