Reports of sexual assault have been found to elicit online discourse incivility. The present study employs a computerized coding tool to examine linguistic characteristics of news media that are likely to influence discourse incivility—specifically, negative emotion, disagreement, and discussion about power relations. Additionally, machine learning was harnessed to measure the levels of comment toxicity, insult, profanity, threat, and identity attack in Reddit and Twitter posts sharing news reports of sexual assault. Findings reveal that linguistic features of news articles interact with platform community norms to predict rape culture as expressed within online responses to reports of sexual assault.

中文翻译：

---

对在线性侵犯的不文明反应：新闻报道的语言特征预测话语不文明

已发现有关性侵犯的报告会引发在线言论不文明行为。本研究采用计算机编码工具来检查可能影响话语不文明的新闻媒体的语言特征——特别是消极情绪、分歧和关于权力关系的讨论。此外，利用机器学习来衡量Reddit和Twitter帖子中分享性侵犯新闻报道的评论毒性、侮辱、亵渎、威胁和身份攻击的程度。调查结果表明，新闻文章的语言特征与平台社区规范相互作用，以预测在线对性侵犯报告的反应中表达的强奸文化。