用大模型分析社交媒体，发现美国南方人更倾向反击人身攻击。
Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis
- 用GPT-3.5识别用户位置和互骂行为，实现大规模社会文化分析。
- 南方用户被攻击后报复性攻击的概率显著高于其他地区用户。
- 为文化研究提供可量化的大型语言模型分析范式，适合社会学与数字人文研究者。
所谓‘荣誉文化’指个体地位、声誉与尊严在人际互动中起核心作用的社会体系。已有研究表明，美国南部与该文化相关，具有更强的侮辱敏感性、更高声誉价值，以及对侮辱更易采取暴力回应。本文假设并验证：在荣誉文化更盛行的美国南部，网民更可能对人身攻击采取报复性攻击。我们利用OpenAI的GPT-3.5 API进行用户地理定位，并自动检测用户间是否相互辱骂。通过人工标注数据集验证GPT-3.5的性能，确保其可靠性。本研究展示了如何基于概念框架提出假设，通过大模型辅助实现大规模分析，经人工验证后得出结论，凸显了大模型在社会文化研究中的潜力。
原文摘要 · Abstract (English)
A \textit{culture of honor} refers to a social system where individuals' status, reputation, and esteem play a central role in governing interpersonal relations. Past works have associated this concept with the United States (US) South and related with it various traits such as higher sensitivity to insult, a higher value on reputation, and a tendency to react violently to insults. In this paper, we hypothesize and confirm that internet users from the US South, where a \textit{culture of honor} is more prevalent, are more likely to display a trait predicted by their belonging to a \textit{culture of honor}. Specifically, we test the hypothesis that US Southerners are more likely to retaliate to personal attacks by personally attacking back. We leverage OpenAI's GPT-3.5 API to both geolocate internet users and to automatically detect whether users are insulting each other. We validate the use of GPT-3.5 by measuring its performance on manually-labeled subsets of the data. Our work demonstrates the potential of formulating a hypothesis based on a conceptual framework, operationalizing it in a way that is amenable to large-scale LLM-aided analysis, manually validating the use of the LLM, and drawing a conclusion.
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