期刊
JOURNAL OF BROADCASTING & ELECTRONIC MEDIA
卷 -, 期 -, 页码 -出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/08838151.2023.2254432
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There is gender bias in gaming culture, and female players have formed online communities as safe spaces for social support. This study uses text mining to analyze female player communities on Reddit and Douban, exploring the presentation of social support and how community identity, affection, and gender-related expressions impact the social support received. The relationships are compared between Western individualist and Chinese collectivist cultures.
Gender bias frequently exists in gaming culture, and online communities have formed separatist safe spaces to provide female players with social support. This study is based on text mining of female player communities on two platforms, Reddit and Douban. Text analysis methods containing Structural Topic Model and Linguistic Inquiry and Word Count were employed to explore how social support is presented and how topics and language features - including community identity, affection, and gender-related expressions - influence the social support that a post receives. Similarities and differences in these relationships are compared between two communities, representing Western individualist and Chinese collectivist cultures.
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