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Characterizing the Demographics Behind the #BlackLivesMatter Movement

机译:在#blacklivesmatter运动背后的人口统计学

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The debates on minority issues are often dominated by or held among the concerned minorities: gender equality debates have often failed to engage men, while those about race fail to engage the dominant group. To test this observation, we study the #BlackLivesMatter movement and hashtag on Twitter - that has emerged and gained traction after a series of events typically involving the death of African-Americans as a result of police brutality - aiming to quantify the population biases across user types (individuals vs. organizations), and (for individuals) across 3 demographics factors (race, gender and age). Our results suggest that more African-Americans engage with the hashtag, and that they are also more active than other demographic groups. We also discuss ethical caveats with broader implications for studies on sensitive topics (e.g. mental health or religion) that focus on users.
机译:关于少数群体问题的辩论通常是有关少数民族的主导:性别平等辩论往往未能参与男性,而关于比赛的人未能聘请主导团体。为了测试这一观察,我们研究了Twitter上的#blacklivesmatter运动和哈希特拉格 - 这在一系列涉及非裔美国人死亡的一系列事件之后出现并获得了牵引力,该事件是警方的残酷的结果 - 旨在量化跨越用户的人口偏见3个人口统计因素(种族,性别和年龄)的类型(个人与组织),和(对于个人)。我们的研究结果表明,更多的非洲裔美国人与Hashtag聘用,而且它们也比其他人口群体更活跃。我们还讨论了对研究用户的敏感主题(例如心理健康或宗教)的研究的伦理警告。

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