Feminism Not for All? The Discourse Around White Feminism Across Five Social Media Platforms

被引:0
|
作者
Borah, Porismita [1 ,5 ]
Ghosh, Shreenita [2 ]
Suk, Jiyoun [4 ]
Mini, Darshana Sreedhar [3 ]
Sun, Luhang [2 ]
机构
[1] Washington State Univ, Pullman, WA 99164 USA
[2] Univ Wisconsin Madison, Sch Journalism & Mass Commun, Madison, WI USA
[3] Univ Wisconsin Madison, Dept Commun Arts, Madison, WI USA
[4] Univ Connecticut, Dept Commun, Storrs, CT USA
[5] Washington State Univ, Edward R Murrow Coll Commun, GTZN 224, Pullman, WA 99164 USA
来源
SOCIAL MEDIA + SOCIETY | 2023年 / 9卷 / 03期
关键词
White feminism; feminist movements; rhetorical techniques; framing techniques; computational text analysis; content analysis; cross-platform differences; DISCURSIVE ACTIVISM; FRAMING ANALYSIS; NUMBER-METOO; RAPE CULTURE; POLITICS; TWITTER; NARRATIVES; MOVEMENT; HASHTAG; DEVICES;
D O I
10.1177/20563051231186862
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
BIPOC scholars have criticized that feminism and feminist activism have often failed to include race, class, and intersectional identities in the feminist agenda. Using theoretical concepts from framing, rhetoric, and cross-platform activism, we examine (a) the discourse in social media posts around white feminism and (b) the platform differences of this content across five different social media platforms: Twitter, Facebook, Instagram, Reddit, and YouTube. The methodology we use is a combination of computational text analysis approaches and content analysis. Our study highlights the voice of those who felt marginalized by the feminist movement including the uprising of #MeToo. We find pockets of conversations on topics such as experiences of People of Color or Women of Color; critique of white feminism, experiences of LGBTQ+ communities, and Black experiences. These posts predominantly used techniques to persuade the audience with reason, facts, and logic. The most common framing technique used was acknowledgment. Moreover, our findings show multiple differences across the five social media platforms.
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页数:22
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