OBJECTIVE On October 15, 2017, Alyssa Milano encouraged anyone who had been sexually harassed or assaulted to respond on Twitter with the phrase, #MeToo. Millions responded and a cultural reckoning ensued. Anecdotally, the #MeToo movement appears to have affected survivors' acceptance and acknowledgment of their own sexual assault experiences, but empirical evidence is lacking. To address this gap, the aim of this study was to examine associations between behavioral and labeled reports of sexual assault and time since the #MeToo movement began. METHODS Participants were 2,566 college students who completed a sexual assault survey over the course of three years, overlapping with the onset of the #MeToo movement. RESULTS Regarding our hypothesis that the prevalence of sexual assault - indicated by standardized behaviorally specific questions - would be relatively constant over time after controlling for demographics, a Bayesian logistic regression model yielded inconclusive results. However, among the 596 students who endorsed behaviorally specific screeners for sexual assault, a Bayesian linear regression model revealed that, after controlling for demographics and characteristics of the assault, participants were increasingly likely to label the experience a "sexual assault" with more time post #MeToo. CONCLUSIONS Overall, findings revealed no evidence for or against changes in prevalence of sexual assault, but suggested there were associations between the #MeToo movement and greater recognition of past unwanted sexual experiences as "sexual assault" over time. These findings highlight the importance of considering social context in research examining sexual assault survivors' cognitions.

中文翻译：

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#MeToo 运动和对性侵犯的看法：随着时间的推移，大学生对性侵犯经历的认识。

目标 2017 年 10 月 15 日，Alyssa Milano 鼓励任何曾受到性骚扰或性侵犯的人在 Twitter 上用#MeToo 来回应。数以百万计的人做出了回应，随之而来的是一场文化清算。有趣的是，#MeToo 运动似乎影响了幸存者对自己性侵犯经历的接受和承认，但缺乏经验证据。为了解决这一差距，本研究的目的是检查自#MeToo 运动开始以来的行为和标记性侵犯报告与时间之间的关联。方法 参与者是 2,566 名大学生，他们在三年内完成了一项性侵犯调查，与#MeToo 运动的开始重叠。结果 关于我们的假设，即性侵犯的流行率（由标准化的行为特定问题表明）在控制人口统计数据后会随着时间的推移相对恒定，贝叶斯逻辑回归模型产生了不确定的结果。然而，在 596 名支持针对性侵犯行为的特定筛查者的学生中，贝叶斯线性回归模型显示，在控制了攻击的人口统计和特征后，参与者越来越有可能将这种经历标记为“性侵犯”，并且发布时间更长。 ＃我也是。结论 总体而言，调查结果显示没有证据支持或反对性侵犯流行率的变化，但表明#MeToo 运动与更多地认识到过去不受欢迎的性经历之间存在关联，因为“