Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis
| Autor: | Kim, Juho, Guerzhoy, Michael |
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| Rok vydání: | 2024 |
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| Druh dokumentu: | Working Paper |
| Popis: | 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. Comment: Accepted to SICon Workshop at the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) |
| Databáze: | arXiv |
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