Conflict or Strategy? Asymmetric Role Framing of La France insoumise and Rassemblement National in French News Headlines, 2022-2025

冲突还是策略？2022-2025年法国新闻标题中“不屈法国”与“国民联盟”的非对称角色框架

Abstract: Do French news headlines frame left- and right-populist challengers as symmetric “extremes,” or as fundamentally different political adversaries? We examine 28,592 headlines about La France insoumise (LFI) and Rassemblement National (RN) published by 25 French-language outlets between 2022 and 2025, annotated through a three-model LLM pipeline validated against a stratified human audit.

摘要： 法国新闻标题是将左翼和右翼民粹主义挑战者塑造为对称的“极端派”，还是将他们视为本质上不同的政治对手？我们研究了2022年至2025年间25家法语媒体发布的28,592条关于“不屈法国”（LFI）和“国民联盟”（RN）的新闻标题，并通过一个经过分层人工审计验证的三模型大语言模型（LLM）流水线进行了标注。

The clearest finding is role asymmetry rather than valence asymmetry: conflict framing and strategic-game framing are more robust across models and time than delegitimization, with AGGRESSOR serving as corroborating role syntax. LFI appears in headlines more often through a conflict register and RN through a strategic-electoral register.

最明确的发现是角色非对称性而非效价（正负面）非对称性：冲突框架和策略博弈框架在不同模型和时间跨度上比“去合法化”更具稳健性，其中“侵略者”（AGGRESSOR）作为辅助角色句法存在。LFI在标题中更多地以冲突语境出现，而RN则更多地以策略-选举语境出现。

This role gap is direction-stable across all three annotation models, survives bootstrapping and permutation tests, and persists across outlet families and most of 2022-2025. A secondary moral-accounting layer (who is blamed, legitimized, or cast as a victim) is structured by outlet rather than party, producing aggregate nulls that conceal some of the corpus’s most polarized patterns.

这种角色差距在所有三个标注模型中方向保持一致，经受住了自助抽样法（bootstrapping）和置换检验的考验，并在各媒体家族及2022-2025年的大部分时间里持续存在。次要的道德核算层面（谁被指责、合法化或被塑造成受害者）更多是由媒体而非政党决定的，这产生了总体上的零效应，掩盖了语料库中一些最极化的模式。

Methodologically, the annotation pipeline reveals a two-tier reliability profile: conflict and strategic-game framing achieve the strongest human validation and cross-model stability; actor role is direction-stable but treated as corroborating because its audit reliability is lower; normative-judgment constructs (legitimacy, blame) are weaker.

在方法论上，该标注流水线揭示了双层可靠性特征：冲突和策略博弈框架获得了最强的人工验证和跨模型稳定性；行动者角色在方向上是稳定的，但因其审计可靠性较低而被视为辅助性指标；规范性判断结构（合法性、指责）则较弱。

The paper contributes political-role assignment as a target for computational framing research that decomposes what valence-based measures conflate, and establishes a construct-stratified reliability framework for calibrating majority-vote LLM annotation pipelines in political text tasks.

本文将“政治角色分配”作为计算框架研究的目标，旨在拆解基于效价的测量方法所混淆的内容，并建立了一个结构分层的可靠性框架，用于校准政治文本任务中基于多数投票的大语言模型标注流水线。