论文标题

如何不同意:调查Wikipedia上使用的争议策略

How to disagree well: Investigating the dispute tactics used on Wikipedia

论文作者

de Kock, Christine, Stafford, Tom, Vlachos, Andreas

论文摘要

经常从检测毒性或分析论点结构的角度研究分歧。我们提出了一个统一这两个观点的争议策略框架,以及其他在解决争议中发挥作用的对话行为,例如提出问题并提供澄清。该框架包括反驳型策略之间的优先顺序,从AD Hominem攻击到反驳中心论点。使用此框架,我们注释了Wikipedia Talk Pages的213个分歧(3,865个话语)。这使我们能够研究有关分歧的策略的研究问题;例如,我们提供了维基百科建议的分歧方法的经验验证。我们开发了用话语中的多标签预测争议策略的模型,通过基于变压器的标签Powerset模型实现了最佳性能。添加一项辅助任务以纳入反驳策略的顺序进一步增加了统计学上的显着增加。最后,我们表明这些注释可用于提供有用的其他信号,以提高预测升级任务的性能。

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 label powerset model. Adding an auxiliary task to incorporate the ordering of rebuttal tactics further yields a statistically significant increase. Finally, we show that these annotations can be used to provide useful additional signals to improve performance on the task of predicting escalation.

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