The Impact of Deepfake on Chinese Female Social Media Users

DOI

10.2991/978-2-38476-611-6_137How to use a DOI?

Keywords

Deepfake; Woman; Social Media; Harm; Artificial Intelligence

Abstract

Non-consensual deepfake face-swapping pornographic material has inflicted significant harm on women globally. Given China’s distinct culture, legislation, social media platform systems, the discussion and distribution of deepfakes is not coordinated with other countries. This lag presents a unique challenge for female users of Chinese social media. It is important to note that Chinese female are also clearly victims of deepfakes, and there have been numerous documented examples of victimization in China. As a result, the authentic feedback and narrative perspectives of Chinese female users on deepfakes are very significant.This study uses semi-structured qualitative interviews to explore the impact of deepfake content on emotional responses and behavioral choices of Chinese female social media users, as well as whether they have coping measures. It analyzes female users’ responses to AI technology and provides a narrative viewpoint on Chinese women as potential victims of deepfake. Research suggests that female participants experience significant anxiety, vigilance, and rejection in relation to deepfake pornography. This has a negative impact on their online social behavior, including increased skepticism of online content and disengagement from digital platforms.In addition, two paradoxes were found in research interviews with female respondents. These two paradoxes are also the reasons why there is little discussion about deepfake content on Chinese social media and exacerbate the vicious cycle of AI exploitation.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 3.0 International License (http://creativecommons.org/licenses/by-nc/3.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qiaoqi Chen
PY  - 2026
DA  - 2026/09/07
TI  - The Impact of Deepfake on Chinese Female Social Media Users
BT  - Proceedings of the 2026 12th International Conference on Digital Humanities and Frontiers in Social Sciences (DHFSS 2026)
PB  - Atlantis Press
SP  - 1284
EP  - 1293
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-611-6_137
DO  - 10.2991/978-2-38476-611-6_137
ID  - Chen2026
ER  -