The geometry of online conversations and the causal antecedents of conflictual discourse
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Abstract (arXiv)
This article investigates the causal antecedents of conflictual language and the geometry of interaction in online threaded conversations related to climate change. We employ three annotation dimensions, inferred through LLM prompting and averaging, to capture complementary aspects of discursive conflict (such as stance: agreement vs disagreement; tone: attacking vs respectful; and emotional versus factual framing) and use data from a threaded online forum to examine how these dimensions respond to temporal, conversational, and arborescent structural features of discussions. We show that, as suggested by the literature, longer delays between successive posts in a thread are associated with replies that are, on average, more respectful, whereas longer delays relative to the parent post are associated with slightly less disagreement but more emotional (less factual) language. Second, we characterize alignment with the local conversational environment and find strong convergence both toward the average stance, tone and emotional framing of older sibling posts replying to the same parent and toward those of the parent post itself, with parent post effects generally stronger than sibling effects. We further show that early branch-level responses condition these alignment dynamics, such that parent-child stance alignment is amplified or attenuated depending on whether a branch is initiated in agreement or disagreement with the discussion's root message. These influences are largely additive for civility-related dimensions (attacking vs respectful, disagree vs agree), whereas for emotional versus factual framing there is a significant interaction: alignment with the parent's emotionality is amplified when older siblings are similarly aligned.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 33 references that are in the map. First posted on arXiv 17 Feb 2026.
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14 of 33 references.
References · 14
- 2017Attention Is All You Needcited by 60,361
- 2024Large Language Models for Data Annotation and Synthesis: A Surveycited by 205
- 2013A Computational Approach to Politeness with Application to Social Factorscited by 106
- 2018Conversations Gone Awry: Detecting Early Signs of Conversational Failurecited by 73
- 2024Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Makingcited by 38
- 2018Before Name-calling: Dynamics and Triggers of Ad Hominem Fallacies in Web Argumentationcited by 33
- 2021A systematic review of Hate Speech automatic detection using Natural Language Processingcited by 27
- 2023Positioning Political Texts with Large Language Models by Asking and Averagingcited by 13
- 2015Measuring Emotional Contagion in Social Mediacited by 10
- 2025Evaluation and Facilitation of Online Discussions in the LLM Era: A Surveycited by 9
- 2016A Piece of My Mind: A Sentiment Analysis Approach for Online Dispute Detectioncited by 7
- 2025Toxicity Ahead: Forecasting Conversational Derailment on GitHubcited by 3
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