Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Assessing Racial and Ethnically Motivated Extremist Cyberattacks Using Open Source Data

Bibliographic Data

ID4914678
AuthorsThomas J Holt (0000-0002-5894-0172, Michigan State University, corresponding author), Steven M Chermak (0000-0001-5210-1143, Michigan State University), Joshua D Freilich (0000-0001-9538-8551, John Jay College of Criminal Justice, City University of New York, New York, NY, USA), Noah Turner (Michigan State University), Noah D Turner (0000-0002-0174-7160, Michigan State University), Emily Greene-Colozzi (John Jay College of Criminal Justice, City University of New York, New York, NY, USA), Emily Greene‐colozzi (0000-0002-0021-8582, City University of New York)
Year2024
Volume36
Issue1
Pages113-126
Publication date2024-01-02
Open AccessNo
TypeARTICLE
VenueTerrorism and Political Violence (JOURNAL)
Journal identifiersISSN: 0954-6553 • E-ISSN: 1556-1836
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09546553.2022.2119848
OpenAlexW4296778524
LanguageEN
Citations received1

Over the last twenty years, researchers have noted the range of violent and financial crimes performed by racial and ethnically-motivated actors. There is also substantial evidence demonstrating the ways that these actors utilize the Internet and various online communications platforms as a resource to recruit others and coordinate criminal activities. As virtually all aspects of modern interpersonal communication, commerce, and government depend on the Internet, these resources are a likely target for ideologically-motivated attacks. There is, however, little research considering the extent to which these resources have been targeted by racial and ethnically-motivated actors. This study attempted to address this gap in the literature through an analysis of the Extremist CyberCrime Database (ECCD), a unique open-source repository of cyberattacks performed against U.S. targets from 1998 to 2020. The findings demonstrate that cyberattacks performed by these actors are performed with less frequency than offline crimes. The implications of this analysis for our understanding of extremism are explored in depth

Computer security · Criminology · Cybercrime · Ethnic group · Ethnically diverse · Ideology · Internet privacy · Organised crime · Phishing · Political science · Politics · Public relations · Sociology · Terrorism · The Internet · Violent extremism · World Wide Web · Computer Science · Cybercrime and Law Enforcement Studies · Hate Speech and Cyberbullying Detection · Law · Terrorism, Counterterrorism, and Political Violence

  • Testing a probabilistic model of desistance from online posting in a right-wing extremist forum

    Thomas W Wojciechowski, Ryan Scrivens et al.•International Journal of…•2025

Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae