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LLMs analyze Russian social media for spontaneous value expression

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a novel framework to analyze human values expressed spontaneously on Russian social media, contrasting with traditional survey methods. This framework utilizes LLMs and an XLM-RoBERTa encoder to process 7.5 million public posts from VKontakte, achieving a macro PR-AUC of .60 on an expert benchmark. While largely recovering the circular structure of values proposed by Schwartz, the social media analysis revealed elevated Hedonism and lower Universalism compared to survey findings, with Universalism showing a structural displacement and concentration among highly active users. AI

IMPACT Demonstrates novel applications of LLMs in social science research for analyzing spontaneous human value expression.

RANK_REASON Academic paper on using LLMs for social science research. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLMs analyze Russian social media for spontaneous value expression

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Academic paper on using LLMs for social science research. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Maria Milkova, Maksim Rudnev ·

    Structure of Basic Human Values in Russian Social Media

    arXiv:2603.18822v2 Announce Type: replace Abstract: What is known about the values of national populations rests almost entirely on questionnaires, which prompt respondents to rate researcher-supplied descriptions of each motivation. Social media instead records values as they ar…

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