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“Me Too”推特标签维权运动中的人口统计学代表性及集体叙事

Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement.

作者信息

Mueller Aaron, Wood-Doughty Zach, Amir Silvio, Dredze Mark, Lynn Nobles Alicia

机构信息

Johns Hopkins University, USA.

University of California San Diego, USA.

出版信息

Proc ACM Hum Comput Interact. 2021 Apr;5(CSCW1). doi: 10.1145/3449181.

DOI:10.1145/3449181
PMID:35295189
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8920314/
Abstract

The #MeToo movement on Twitter has drawn attention to the pervasive nature of sexual harassment and violence. While #MeToo has been praised for providing support for self-disclosures of harassment or violence and shifting societal response, it has also been criticized for exemplifying how women of color have been discounted for their historical contributions to and excluded from feminist movements. Through an analysis of over 600,000 tweets from over 256,000 unique users, we examine online #MeToo conversations across gender and racial/ethnic identities and the topics that each demographic emphasized. We found that tweets authored by white women were overrepresented in the movement compared to other demographics, aligning with criticism of unequal representation. We found that intersected identities contributed differing narratives to frame the movement, co-opted the movement to raise visibility in parallel ongoing movements, employed the same hashtags both critically and supportively, and revived and created new hashtags in response to pivotal moments. Notably, tweets authored by black women often expressed emotional support and were critical about differential treatment in the justice system and by police. In comparison, tweets authored by white women and men often highlighted sexual harassment and violence by public figures and weaved in more general political discussions. We discuss the implications of this work for digital activism research and design, including suggestions to raise visibility by those who were under-represented in this hashtag activism movement.

摘要

推特上的#MeToo运动引发了人们对性骚扰和暴力普遍存在的关注。虽然#MeToo因支持性骚扰或暴力的自我披露以及改变社会反应而受到赞誉,但它也因例证了有色人种女性对女权运动的历史贡献被忽视且被排除在女权运动之外而受到批评。通过对来自25.6万多名不同用户的60多万条推文进行分析,我们研究了跨性别和种族/族裔身份的在线#MeToo对话以及每个人口群体所强调的话题。我们发现,与其他人口群体相比白人女性撰写的推文在该运动中占比过高,这与对代表性不平等的批评一致。我们发现,交叉身份为构建该运动贡献了不同的叙事方式,利用该运动在并行的持续运动中提高知名度,批判性地和支持性地使用相同的标签,并针对关键时刻复兴和创建新的标签。值得注意的是,黑人女性撰写的推文常常表达情感支持,并对司法系统和警方的差别对待提出批评。相比之下,白人女性和男性撰写的推文常常强调公众人物的性骚扰和暴力行为,并融入更广泛的政治讨论。我们讨论了这项工作对数字激进主义研究和设计的影响,包括对在这一标签激进主义运动中代表性不足的人群提高知名度的建议。

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本文引用的文献

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"I never told anyone until the #metoo movement": What can we learn from sexual abuse and sexual assault disclosures made through social media?“直到 #metoo 运动我才告诉任何人”:我们能从社交媒体上披露的性虐待和性侵犯中吸取什么教训?
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Don't quote me: reverse identification of research participants in social media studies.
谁支持伯尼?在 2020 年民主党初选中分析推特上的身份和意识形态差异。
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Can online self-reports assist in real-time identification of influenza vaccination uptake? A cross-sectional study of influenza vaccine-related tweets in the USA, 2013-2017.在线自我报告能否有助于实时识别流感疫苗接种情况?2013-2017 年美国与流感疫苗相关推文的横断面研究。
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