@inproceedings{kim-guerzhoy-2024-observing,
    title = "Observing the {S}outhern {US} Culture of Honor Using Large-Scale Social Media Analysis",
    author = "Kim, Juho  and
      Guerzhoy, Michael",
    editor = "Hale, James  and
      Chawla, Kushal  and
      Garg, Muskan",
    booktitle = "Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2024.sicon-1.1/",
    doi = "10.18653/v1/2024.sicon-1.1",
    pages = "1--8",
    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."
}