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postgraduate thesis: Comparative analysis of comments on feminism on Hupu and Xiaohongshu : a text mining approach

TitleComparative analysis of comments on feminism on Hupu and Xiaohongshu : a text mining approach
Authors
Issue Date2024
PublisherThe University of Hong Kong (Pokfulam, Hong Kong)
Citation
Liu, M. [劉名煜]. (2024). Comparative analysis of comments on feminism on Hupu and Xiaohongshu : a text mining approach. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.
AbstractThis research examines the intersection of feminism and social media discourse in China through a comparative analysis of comments on feminism on two prominent platforms: Hupu and Xiaohongshu. Utilizing advanced text mining techniques, including BERTopic and sentiment analysis, the research explores the differences in topics and sentiments expressed in comments on feminism across these platforms. The research reveals clear variances in topics discussed on Hupu, with a greater emphasis on heated and divisive conversations, including "Radical Feminism" and "Misogyny and Misandry". These topics show critical and sometimes contemptuous views towards feminism. On the other hand, Xiaohongshu fosters more emotional and supportive conversations, focusing on topics, such as "Encouragement" and "Kindness", demonstrating a strong identification with feminist values and a desire for social change. The sentiment study indicates that Hupu has a mostly neutral to slightly negative sentiment, but Xiaohongshu has a typically favorable sentiment, suggesting a friendly community environment. These differences might be explained through the lens of ingroup and outgroup dynamics, highlighting the influence of platform demographics and user identities on the nature of feminist discourse. The findings contribute to the understanding of how platform-specific factors shape public perceptions of feminism in China, offering insights into the complex and evolving attitudes toward gender equality in contemporary society.
DegreeMaster of Arts
SubjectText data mining
Feminism - China
Online social networks - China
Dept/ProgramLinguistics
Persistent Identifierhttp://hdl.handle.net/10722/352867

 

DC FieldValueLanguage
dc.contributor.authorLiu, Mingyu-
dc.contributor.author劉名煜-
dc.date.accessioned2025-01-08T06:46:46Z-
dc.date.available2025-01-08T06:46:46Z-
dc.date.issued2024-
dc.identifier.citationLiu, M. [劉名煜]. (2024). Comparative analysis of comments on feminism on Hupu and Xiaohongshu : a text mining approach. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR.-
dc.identifier.urihttp://hdl.handle.net/10722/352867-
dc.description.abstractThis research examines the intersection of feminism and social media discourse in China through a comparative analysis of comments on feminism on two prominent platforms: Hupu and Xiaohongshu. Utilizing advanced text mining techniques, including BERTopic and sentiment analysis, the research explores the differences in topics and sentiments expressed in comments on feminism across these platforms. The research reveals clear variances in topics discussed on Hupu, with a greater emphasis on heated and divisive conversations, including "Radical Feminism" and "Misogyny and Misandry". These topics show critical and sometimes contemptuous views towards feminism. On the other hand, Xiaohongshu fosters more emotional and supportive conversations, focusing on topics, such as "Encouragement" and "Kindness", demonstrating a strong identification with feminist values and a desire for social change. The sentiment study indicates that Hupu has a mostly neutral to slightly negative sentiment, but Xiaohongshu has a typically favorable sentiment, suggesting a friendly community environment. These differences might be explained through the lens of ingroup and outgroup dynamics, highlighting the influence of platform demographics and user identities on the nature of feminist discourse. The findings contribute to the understanding of how platform-specific factors shape public perceptions of feminism in China, offering insights into the complex and evolving attitudes toward gender equality in contemporary society. -
dc.languageeng-
dc.publisherThe University of Hong Kong (Pokfulam, Hong Kong)-
dc.relation.ispartofHKU Theses Online (HKUTO)-
dc.rightsThe author retains all proprietary rights, (such as patent rights) and the right to use in future works.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subject.lcshText data mining-
dc.subject.lcshFeminism - China-
dc.subject.lcshOnline social networks - China-
dc.titleComparative analysis of comments on feminism on Hupu and Xiaohongshu : a text mining approach-
dc.typePG_Thesis-
dc.description.thesisnameMaster of Arts-
dc.description.thesislevelMaster-
dc.description.thesisdisciplineLinguistics-
dc.description.naturepublished_or_final_version-
dc.date.hkucongregation2024-
dc.identifier.mmsid991044892109003414-

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