🧪 Test?View on arXiv
Framing by Wording, Framing by Selection: A Large-Scale Two-Dimensional Audit of French News Headlines, 2022-2025
Author1, Author2, Author3, Author4, Author5
framingnatural language processingdata analysismachine learning
2609.28487
Builder Relevance
1h ago70%
Abstract
This paper introduces a two-dimensional framework for analyzing French news headlines, separating salience framing from selection framing.
Reality Card
Core Claim
The study successfully identifies and quantifies the divergence between salience and selection framing in French news headlines, revealing unexplained variance in outlet-level framing.
Method / Result
The research analyzes 902,111 deduplicated headlines from 25 French outlets, marking it as the largest framing-focused audit to date.
Limitations
The study's reliance on majority-vote resolution among LLM annotators may introduce biases that affect reproducibility.
Paper to code
Verified implementation resources so builders can test the paper’s claims instead of stopping at the abstract.
No verified implementation link has been attached yet. AIBuzzHub will keep this panel separate from unverified search results.