Investigating Human Values in Online Communities

February 21, 2024 Β· Declared Dead Β· πŸ› North American Chapter of the Association for Computational Linguistics

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Authors Nadav Borenstein, Arnav Arora, Lucie-AimΓ©e Kaffee, Isabelle Augenstein arXiv ID 2402.14177 Category cs.SI: Social & Info Networks Cross-listed cs.CY Citations 10 Venue North American Chapter of the Association for Computational Linguistics Last Checked 4 months ago
Abstract
Studying human values is instrumental for cross-cultural research, enabling a better understanding of preferences and behaviour of society at large and communities therein. To study the dynamics of communities online, we propose a method to computationally analyse values present on Reddit. Our method allows analysis at scale, complementing survey based approaches. We train a value relevance and a value polarity classifier, which we thoroughly evaluate using in-domain and out-of-domain human annotations. Using these, we automatically annotate over six million posts across 12k subreddits with Schwartz values. Our analysis unveils both previously recorded and novel insights into the values prevalent within various online communities. For instance, we discover a very negative stance towards conformity in the Vegan and AbolishTheMonarchy subreddits. Additionally, our study of geographically specific subreddits highlights the correlation between traditional values and conservative U.S. states. Through our work, we demonstrate how our dataset and method can be used as a complementary tool for qualitative study of online communication.
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