Date
5-2025
Document Type
Capstone Project (Open Access)
Degree Name
Bachelor of Arts (B.A.)
Department
Social Sciences and Global Studies
Major
Sociology
First Advisor
Yong Lao
Second Advisor
Armando Arias
Abstract
This study aims to provide a legal analysis grounded in gender legal theory to critique current legislation enacted in the United States. It focuses on the societal and gendered impacts of revenge porn, particularly examining how victimization differs across genders. The legal analysis explores state-by-state legislation addressing revenge porn, assessing the severity of criminal penalties and the timeline of enactment. For current contextual reasons, the study evaluates how emerging Deepfake artificial intelligence technologies intersect with and complicate existing revenge porn laws. Finally, it analyzes the extent to which each state has incorporated Deepfake AI considerations into its legal framework.
Recommended Citation
Hunt, Eva C., "Deep-Fake Revenge Porn: The intersection of Artificial Intelligence and Revenge porn for a Modern Attack on Women" (2025). Capstone Projects and Master's Theses. 2000.
https://digitalcommons.csumb.edu/caps_thes_all/2000
Included in
American Politics Commons, Comparative Politics Commons, Criminology Commons, Demography, Population, and Ecology Commons, Gender and Sexuality Commons, Inequality and Stratification Commons, Legal Theory Commons, Other Political Science Commons, Other Sociology Commons, Political Theory Commons, Politics and Social Change Commons, Quantitative, Qualitative, Comparative, and Historical Methodologies Commons, Social Control, Law, Crime, and Deviance Commons, Social Psychology and Interaction Commons