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This paper introduces a two-dimensional framework for analyzing news headlines, separating salience framing from selection framing, and applies it to a large-scale audit of French headlines using LLM-based annotation, revealing disparities in media framing.
This paper presents a large-scale audit of human annotation reporting in NLP from 2018-2025, showing inconsistent documentation of critical details but improvements over time, and provides a framework and recommendations for better reporting.