TL;DR
This paper introduces a unified framework for dispute tactics in Wikipedia disagreements, annotates a large dataset, and develops models to predict tactics, improving understanding and prediction of dispute escalation.
Contribution
It proposes a comprehensive dispute tactics framework, annotates Wikipedia disagreements, and develops transformer-based models with auxiliary tasks for better tactic prediction.
Findings
Transformer-based models outperform baselines
Adding ordering information improves prediction accuracy
Annotations help predict escalation in disputes
Abstract
Disagreements are frequently studied from the perspective of either detecting toxicity or analysing argument structure. We propose a framework of dispute tactics that unifies these two perspectives, as well as other dialogue acts which play a role in resolving disputes, such as asking questions and providing clarification. This framework includes a preferential ordering among rebuttal-type tactics, ranging from ad hominem attacks to refuting the central argument. Using this framework, we annotate 213 disagreements (3,865 utterances) from Wikipedia Talk pages. This allows us to investigate research questions around the tactics used in disagreements; for instance, we provide empirical validation of the approach to disagreement recommended by Wikipedia. We develop models for multilabel prediction of dispute tactics in an utterance, achieving the best performance with a transformer-based…
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