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New dataset annotates social perception dimensions of warmth and competence in text

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced W&C-Sent, a new dataset designed to annotate warmth and competence at the sentence level. This dataset contains over 1,600 English sentence-target pairs derived from social media posts. The annotations cover trust, sociability, and competence, aiming to advance NLP research in computational social science. AI

IMPACT Provides a new resource for evaluating LLM understanding of social perception in text.

RANK_REASON The cluster describes a new academic dataset and evaluation of LLMs on it.

Read on arXiv cs.CL →

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

New dataset annotates social perception dimensions of warmth and competence in text

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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Mutaz Ayesh, Saif M. Mohammad, Nedjma Ousidhoum ·

    Annotating Dimensions of Social Perception in Text: A Sentence-Level Dataset of Warmth and Competence

    arXiv:2601.06316v3 Announce Type: replace Abstract: Warmth (W) (often further broken down intoTrust (T) and Sociability (S)) and Competence (C) are central dimensions along which people evaluate individuals and social groups (Fiske, 2018). While these constructs are well establis…

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