
The Influence of Information Cocoon Effect on the Spread of Feminism: Taking Douyin as an Example
- 1 Shanghai Shangde Experimental School
* Author to whom correspondence should be addressed.
Abstract
The rapid expansion of social media platforms has provided new avenues for feminist discourse, enabling broader public engagement and visibility. However, algorithm-driven environments like Douyin (Chinese TikTok) introduce the information cocoon effect, which reinforces user biases by tailoring content to their preferences. This study investigates how these algorithmic constraints impact the dissemination of feminist content, shaping public perception and influencing the strategies of feminist creators. Using literature review and case study methods, the paper examines the effects of Douyin's recommendation algorithms on feminist narratives. It explores how feminist creators navigate the platform's algorithmic and audience-driven challenges, addressing the tension between generating visibility and delivering substantive, intersectional feminist discourse. The findings highlight the limitations imposed by the information cocoon effect, which prioritizes superficial, sensational content, thereby narrowing feminist perspectives and perpetuating misconceptions. The study underscores the importance of quality-driven, inclusive content strategies in breaking through these constraints to foster meaningful discussions and promote gender equality in digital spaces.
Keywords
Feminism, algorithm, new media, feminism content creator
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Cite this article
Zhu,Y. (2025). The Influence of Information Cocoon Effect on the Spread of Feminism: Taking Douyin as an Example. Lecture Notes in Education Psychology and Public Media,83,52-58.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Global Politics and Socio-Humanities
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