Paper
When LLMs Enter Everyday Feminism on Chinese Social Media: Opportunities and Risks for Women's Empowerment
Authors
Runhua Zhang, Ziqi Pan, Kangyu Yuan, Qiaoyi Chen, Yulin Tian, Huamin Qu, Xiaojuan Ma
Abstract
Everyday digital feminism refers to the ordinary, often pragmatic ways women articulate lived experiences and cultivate solidarity in online spaces. In China, such practices flourish on RedNote through discussions under hashtags like ''women's growth''. Recently, DeepSeek-generated content has been taken up as a new voice in these conversations. Given widely recognized gender biases in LLMs, this raises critical concerns about how LLMs interact with everyday feminist practices. Through an analysis of 430 RedNote posts, 139 shared DeepSeek responses, and 3211 comments, we found that users predominantly welcomed DeepSeek's advice. Yet feminist critical discourse analysis revealed that these responses primarily encouraged women to self-optimize and pursue achievements within prevailing norms rather than challenge them. By interpreting this case, we discuss the opportunities and risks that LLMs introduce for everyday feminism as a pathway toward women's empowerment, and offer design implications for leveraging LLMs to better support such practices.
Metadata
Related papers
Vibe Coding XR: Accelerating AI + XR Prototyping with XR Blocks and Gemini
Ruofei Du, Benjamin Hersh, David Li, Nels Numan, Xun Qian, Yanhe Chen, Zhongy... • 2026-03-25
Comparing Developer and LLM Biases in Code Evaluation
Aditya Mittal, Ryan Shar, Zichu Wu, Shyam Agarwal, Tongshuang Wu, Chris Donah... • 2026-03-25
The Stochastic Gap: A Markovian Framework for Pre-Deployment Reliability and Oversight-Cost Auditing in Agentic Artificial Intelligence
Biplab Pal, Santanu Bhattacharya • 2026-03-25
Retrieval Improvements Do Not Guarantee Better Answers: A Study of RAG for AI Policy QA
Saahil Mathur, Ryan David Rittner, Vedant Ajit Thakur, Daniel Stuart Schiff, ... • 2026-03-25
MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucination
Zhuo Li, Yupeng Zhang, Pengyu Cheng, Jiajun Song, Mengyu Zhou, Hao Li, Shujie... • 2026-03-25
Raw Data (Debug)
{
"raw_xml": "<entry>\n <id>http://arxiv.org/abs/2602.20876v1</id>\n <title>When LLMs Enter Everyday Feminism on Chinese Social Media: Opportunities and Risks for Women's Empowerment</title>\n <updated>2026-02-24T13:19:26Z</updated>\n <link href='https://arxiv.org/abs/2602.20876v1' rel='alternate' type='text/html'/>\n <link href='https://arxiv.org/pdf/2602.20876v1' rel='related' title='pdf' type='application/pdf'/>\n <summary>Everyday digital feminism refers to the ordinary, often pragmatic ways women articulate lived experiences and cultivate solidarity in online spaces. In China, such practices flourish on RedNote through discussions under hashtags like ''women's growth''. Recently, DeepSeek-generated content has been taken up as a new voice in these conversations. Given widely recognized gender biases in LLMs, this raises critical concerns about how LLMs interact with everyday feminist practices. Through an analysis of 430 RedNote posts, 139 shared DeepSeek responses, and 3211 comments, we found that users predominantly welcomed DeepSeek's advice. Yet feminist critical discourse analysis revealed that these responses primarily encouraged women to self-optimize and pursue achievements within prevailing norms rather than challenge them. By interpreting this case, we discuss the opportunities and risks that LLMs introduce for everyday feminism as a pathway toward women's empowerment, and offer design implications for leveraging LLMs to better support such practices.</summary>\n <category scheme='http://arxiv.org/schemas/atom' term='cs.HC'/>\n <published>2026-02-24T13:19:26Z</published>\n <arxiv:comment>This paper is conditionally accepted to CHI 2026</arxiv:comment>\n <arxiv:primary_category term='cs.HC'/>\n <author>\n <name>Runhua Zhang</name>\n </author>\n <author>\n <name>Ziqi Pan</name>\n </author>\n <author>\n <name>Kangyu Yuan</name>\n </author>\n <author>\n <name>Qiaoyi Chen</name>\n </author>\n <author>\n <name>Yulin Tian</name>\n </author>\n <author>\n <name>Huamin Qu</name>\n </author>\n <author>\n <name>Xiaojuan Ma</name>\n </author>\n <arxiv:doi>10.1145/3772318.3790616</arxiv:doi>\n <link href='https://doi.org/10.1145/3772318.3790616' rel='related' title='doi'/>\n </entry>"
}