arXiv:2603.26430cs.CLcs.IR2026-03中稿 · the 3rd Workshop o…

分析德国议会发言中'秩序要求',揭示政治不文明的根源与不平等现象。

Analysing Calls to Order in German Parliamentary Debates

  • 基于规则的方法自动识别议会发言中的秩序要求并标注
  • 男性及反对党议员受秩序要求次数显著更多,存在性别与派别差异
  • 侮辱个人是秩序要求最常见原因,且由议长主观判断影响

议会辩论是政治权力的核心场域,塑造立法结果与公共话语。其中的不文明行为反映政治极化与制度冲突。本研究系统分析德国联邦议院中的不文明现象,以'秩序要求'(Calls to Order, CtO)作为规范违规的正式指标。尽管其重要性显著,但现有研究对CtO缺乏系统关注。本文提出一种基于规则的检测与标注方法,构建了涵盖72年德国议会辩论的新型数据集,包含标注的CtO实例。同时,建立首个CtO触发因素分类体系,并分析其发生关联因素。研究发现,尽管有正式规定,秩序要求的发出具有部分主观性,受议长和议会动态影响,某些个体被更频繁针对。对个人的侮辱是触发CtO的最主要原因。总体而言,男性议员及反对党成员收到的秩序要求多于女性及执政党成员。多数触发事件出现在政府事务讨论及议长行为相关的发言中。相关数据集已公开于:https://github.com/kalawinka/cto_analysis。

原文摘要 · Abstract (English)

Parliamentary debate constitutes a central arena of political power, shaping legislative outcomes and public discourse. Incivility within this arena signals political polarization and institutional conflict. This study presents a systematic investigation of incivility in the German Bundestag by examining calls to order (CtO; plural: CtOs) as formal indicators of norm violations. Despite their relevance, CtOs have received little systematic attention in parliamentary research. We introduce a rule-based method for detecting and annotating CtOs in parliamentary speeches and present a novel dataset of German parliamentary debates spanning 72 years that includes annotated CtO instances. Additionally, we develop the first classification system for CtO triggers and analyze the factors associated with their occurrence. Our findings show that, despite formal regulations, the issuance of CtOs is partly subjective and influenced by session presidents and parliamentary dynamics, with certain individuals disproportionately affected. An insult towards individuals is the most frequent cause of CtO. In general, male members and those belonging to opposition parties receive more calls to order than their female and coalition-party counterparts. Most CtO triggers were detected in speeches dedicated to governmental affairs and actions of the presidency. The CtO triggers dataset is available at: https://github.com/kalawinka/cto_analysis.

政治话语议会分析社会计算

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