责任游戏：理解社交媒体中的责任分配
The blame game: Understanding blame assignment in social media
摘要：
认知和心理学对道德的研究提出了潜在的语言和语义因素。然而，哲学文献中的实验室实验往往缺乏现实生活的细微差别和复杂性。本文探讨了这些认知研究的结果如何推广到一个流行的社交媒体论坛上提交的超过30，000个紧张社会情境的叙述语料库。这些叙述描述了人际道德状况或疑虑;其他用户从帖子中判断作者（主角）或反对方（对手）是否在道德上有罪。鉴于以前的工作集中在预测规范行为的极性，我们扩展和应用自然语言处理（NLP）技术，以了解在这些职位的人的描述的影响。我们进行了大量的实验，以调查功能的效应大小，以了解它们如何影响社会媒体的责任分配。我们的研究结果表明，聚合心理学理论能够理解现实生活中的道德状况。此外，我们的研究结果表明，在社会媒体上的责任分配存在偏见，例如男性更容易受到指责，无论他们是主角还是对手。
英文摘要：
Cognitive and psychological studies on morality have proposed underlying linguistic and semantic factors. However, laboratory experiments in the philosophical literature often lack the nuances and complexity of real life. This paper examines how well the findings of these cognitive studies generalize to a corpus of over 30,000 narratives of tense social situations submitted to a popular social media forum. These narratives describe interpersonal moral situations or misgivings; other users judge from the post whether the author (protagonist) or the opposing side (antagonist) is morally culpable. Whereas previous work focuses on predicting the polarity of normative behaviors, we extend and apply natural language processing (NLP) techniques to understand the effects of descriptions of the people involved in these posts. We conduct extensive experiments to investigate the effect sizes of features to understand how they affect the assignment of blame on social media. Our findings show that aggregating psychology theories enables understanding real-life moral situations. Moreover, our results suggest that there exist biases in blame assignment on social media, such as males are more likely to receive blame no matter whether they are protagonists or antagonists.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
