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LLMs measure human values in social media with new annotation method

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a method to measure human values expressed in social media texts using LLMs. The study, which utilized non-English posts and Schwartz's theory of basic human values, found that different LLMs interpret values differently. Through iterative prompt calibration and error analysis, the accuracy of LLM annotations was improved, and these annotations were then transferred to an encoder model for scalable prediction. AI

IMPACT This research offers a novel approach to analyzing subjective content in social media, potentially improving sentiment analysis and understanding of public opinion.

RANK_REASON The cluster contains an academic paper detailing a new methodology for LLM annotation and encoder transfer.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

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

    Measuring Human Value Expression in Social Media Texts: Calibrated LLM Annotation and Encoder Transfer

    arXiv:2606.11018v1 Announce Type: new Abstract: Measuring subjective constructs in naturally occurring social media text requires annotation procedures that are theoretically grounded, empirically validated, and transferable to an encoder model for scalable prediction. Using non-…

  2. arXiv cs.CL TIER_1 English(EN) · Maksim Rudnev ·

    Measuring Human Value Expression in Social Media Texts: Calibrated LLM Annotation and Encoder Transfer

    Measuring subjective constructs in naturally occurring social media text requires annotation procedures that are theoretically grounded, empirically validated, and transferable to an encoder model for scalable prediction. Using non-English social media posts annotated according t…

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