Diverse Findings from the University of Cincinnati Cybercrime and Behavior Online Research Group (UC CYBORG)

Session Submission Type: Complete Thematic Panel

Abstract/Description

Objective: Scholars from the University of Cincinnati School of Criminal Justice present research using multiple datasets and information sources centered on cybercrime, behaviors online, and artificial intelligence (AI). The presenters are representatives of the recently formed UC CYBORG.

Data/Methods: Each presentation employs different datasets and types of modeling strategies, including SEM, regression, and qualitative approaches.

Results: The researchers illustrate how general strain theory’s core hypotheses can be assessed using cybercrime measures from a nationally representative sample of Korean youth, how AI-generated essays on criminal justice topics are recognized by plagiarism detection software, and how potentially self-harming behaviors manifest among a large sample of posts from an online group of men who self-refer as involuntary celibates (incels).

Conclusion/Implications: The presentations highlight the challenges and insights that can be gained in studying cybercrime and online behaviors.

Sub Unit

• Area III. Types of Offending / 19. Identity Theft and Cyber Crime

Individual Presentations

• GST in the Digital Age: The Mediating Role of Cyberdeviance in Strain Using the KCYPS - Sung Hwan Joo, University of Cincinnati

• Alarm Bells or Just Smoke: An Evaluation of Plagiarism Detection of ChatGPT-Generated Essays in CJ. - Tim Engle, University of Cincinnati; Joseph Nedelec, University of Cincinnati

• Incels & Self-Harm: When Looksmaxing Goes Too Far - Kaylin Aubrey Coe, University of Cincinnati