社交媒体内容——性侵犯指控的编码分析

Terri Juneau
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引用次数: 1

摘要

这项研究的目的是检查两个流行的社交媒体平台——Facebook和Twitter上的新闻报道,看看通过在线评论部分对涉嫌性侵犯的女性受害者的归因。这项研究将研究哈维·韦恩斯坦、比尔·科斯比和布雷特·卡瓦诺这三名被指控的著名男性罪犯,并比较《华盛顿邮报》在Facebook和Twitter上对三篇涉及受害者的不同新闻报道的评论。使用完全定性编码分析和描述性统计,本研究将检验标签理论和耻辱是否在这些归因中发挥作用,并进一步探索可能影响一个人对所谓受害者的看法的条件,以及权力、声望和权威是否在公众如何看待所谓的性指控中发挥作用。
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Social Media Content – Coding Analysis of Sexual Assault Allegations
The purpose of this study is to examine news stories on two popular social media platforms - Facebook and Twitter and see what attributions are made regarding alleged female sexual assault victims via the online comments section. This study will look at three prominent male alleged offenders in Harvey Weinstein, Bill Cosby and Brett Kavanaugh and compare comments on both Facebook and Twitter on three different news stories by The Washington Post involving their alleged victims. Using a completely qualitative coding analysis and descriptive statistics, this study will examine whether labeling theory and stigma play a role in these attributions and also explore further conditions that might influence a person’s ideas of the alleged victim and if power, prestige and authority play a role in how the public views alleged sexual allegations.
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