论文标题
#MeToo校园：使用社交媒体上报道的数据大规模研究大学性侵犯
#MeToo on Campus: Studying College Sexual Assault at Scale Using Data Reported on Social Media
论文作者
论文摘要
最近，#MeToo趋势在社交媒体上的出现使成千上万的人有能力分享自己的性骚扰经历。这种病毒趋势与Twitter上可用的大量个人信息和内容一起提供了一个有希望的机会，可以提取数据驱动数据驱动的见解，以补充有关大学性骚扰的持续调查研究。在本文中，我们分析了#MeToo趋势对大学追随者的影响。结果表明，这些#MeToo推文中嵌入的大多数主题详细介绍了性骚扰故事，并且这种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，我们使用深厚的语义含义表示及其对经历不同类型的性骚扰的受影响用户的含义，发现了#MeToo推文的出色情感。我们希望这项研究能够提高对学术界性行为不端的进一步认识。
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.
