Recently, the emergence of the #MeToo trend on social media has empowered thousands of people to share their own sexual harassment experiences. This viral trend, in conjunction with the massive personal information and content available on Twitter, presents a promising opportunity to extract data driven insights to complement the ongoing survey based studies about sexual harassment in college. In this paper, we analyze the influence of the #MeToo trend on a pool of college followers. The results show that the majority of topics embedded in those #MeToo tweets detail sexual harassment stories, and there exists a significant correlation between the prevalence of this trend and official reports on several major geographical regions. Furthermore, we discover the outstanding sentiments of the #MeToo tweets using deep semantic meaning representations and their implications on the affected users experiencing different types of sexual harassment. We hope this study can raise further awareness regarding sexual misconduct in academia.

中文翻译：

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#MeToo 在校园：使用社交媒体上报告的数据大规模研究大学性侵犯

最近，社交媒体上#MeToo 趋势的出现使成千上万的人能够分享自己的性骚扰经历。这种病毒式趋势与 Twitter 上提供的大量个人信息和内容相结合，提供了一个很有希望的机会，可以提取数据驱动的见解，以补充正在进行的基于调查的大学性骚扰研究。在本文中，我们分析了#MeToo 趋势对大学追随者群体的影响。结果表明，#MeToo 推文中嵌入的大多数主题都详细描述了性骚扰故事，并且这一趋势的流行与几个主要地理区域的官方报告之间存在显着相关性。此外，我们发现#MeToo 推文的突出情绪使用深层语义表示及其对经历不同类型性骚扰的受影响用户的影响。我们希望这项研究能够进一步提高学术界对性行为不端的认识。