Mixed-methods analysis explores misogyny within Chinese digital spaces, linking it to socioeconomic frustrations.
This study argues that in China’s digital sphere, online misogyny functions less as a gateway to extremism and more as a structural hub for systemic discontent. Drawing on opportunity structure theory, our mixed-methods approach combines computational analysis of posts from Baidu Tieba ( n = 91,026) with in-depth interviews ( n = 27). We find that “Gendered Insults” exhibits the highest betweenness centrality, acting as a structural bridge connecting disparate frustrations. Women-targeting topics are both speakable and resonant within the community, anchored by a self-deprecating “sewer mouse” masculinity that navigates opportunity structures. Interviews reveal that when political opportunity structures remain closed while discursive and mediated (legacy platform) opportunities stay relatively accessible, misogyny becomes a functional language for channeling widespread socioeconomic anxieties. We conclude that in this context, misogyny operates not as a starting point for radicalization but as a core organizing principle for the socially disillusioned. This suggests that divergent structural conditions produce different mechanisms.
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Zhao et al. (2026) studied this question.
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