The Gendered Impact of Deepfake Technology: Analyzing Digital Violence Against Women in South Korea

Abstract

Deepfakes are unrealistic videos generated by deep learning technology. While this technology has advanced social media, it has also emerged as a major tool for digital crime. Among them, gender crimes against women have a great impact. Videos generated by deepfakes are difficult to distinguish, resulting in the production and appearance of a lot of non-resource pornographic content. This will cause great trauma to women's psychology. Combining the research methods of current situation analysis and case study, this paper further analyzes the mechanism of deepfakes on the Internet and explores the role of women in cyber violence generated by deepfakes. This study found that the development of deepfakes is affected by different social regulations. Especially in societies with traditional gender roles such as South Korea, women's digital identities are severely restricted. Society lacks tolerance for female victims generated by deepfakes, and many women face social pressure. In order to effectively combat gender digital crimes, this paper puts forward some suggestions and discussions from the cooperation between governments and social organizations, schools and public education. From a legal perspective, cooperation and legislative measures among countries are the key to protecting women's rights. Countries should have deeper cooperation to prohibit the production and dissemination of deep fake content without consent. Although this article provides a lot of insights into the crimes generated by deepfake technology, it still has limitations. The study mainly focused on the Korean case, and future research should expand the scope of the different culture study.