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        <title>Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis</title>
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            <namePart type="given">Muskan</namePart>
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    <abstract>A 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 culture of honor is more prevalent, are more likely to display a trait predicted by their belonging to a 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.</abstract>
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%0 Conference Proceedings
%T Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis
%A Kim, Juho
%A Guerzhoy, Michael
%Y Hale, James
%Y Chawla, Kushal
%Y Garg, Muskan
%S Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F kim-guerzhoy-2024-observing
%X A 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 culture of honor is more prevalent, are more likely to display a trait predicted by their belonging to a 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.
%U https://aclanthology.org/2024.sicon-1.1
%P 1-8

Markdown (Informal)

[Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis](https://aclanthology.org/2024.sicon-1.1) (Kim & Guerzhoy, SICon 2024)

• Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis (Kim & Guerzhoy, SICon 2024)

ACL

• Juho Kim and Michael Guerzhoy. 2024. Observing the Southern US Culture of Honor Using Large-Scale Social Media Analysis. In Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024), pages 1–8, Miami, Florida, USA. Association for Computational Linguistics.