标题： 谨慎处理线程：主动帮助用户评估并缓解他们在在线讨论中的紧张情绪 显示英文标题

标题： Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions

摘要： 不文明行为仍然是在线讨论平台的主要挑战，以至于即使是善意用户的对话也常常会偏离到不文明行为。 传统上，平台依赖管理员来采取纠正措施，如删除评论或禁止用户，无论是否有算法辅助。 在本研究中，我们提出了一种补充范式，通过主动增强用户对其所参与对话中现有紧张局势的意识，并在他们撰写回复时积极引导他们以避免进一步升级。 作为这一范式的概念验证，我们设计了一个算法工具，直接向用户提供这种主动信息，并在一个流行的讨论平台上进行了用户研究。 通过结合问卷调查和随机对照实验的混合方法，我们发现了关于参与者如何利用和反应这种信息的定性和定量见解。 大多数参与者报告称，这种主动范式是有价值的，他们认为这有助于他们识别可能被忽略的紧张局势，并促使他们进一步反思自己的回复并进行修改。 这些效果通过比较参与者在我们的工具警告他们的对话可能偏离到不文明行为时撰写的回复，以及在工具禁用的对照条件下撰写的回复得到了证实。 这些初步发现突显了这种以用户为中心的范式的潜力，并指明了未来实施的具体方向。 显示英文摘要

摘要： Incivility remains a major challenge for online discussion platforms, to such an extent that even conversations between well-intentioned users can often derail into uncivil behavior. Traditionally, platforms have relied on moderators to -- with or without algorithmic assistance -- take corrective actions such as removing comments or banning users. In this work we propose a complementary paradigm that directly empowers users by proactively enhancing their awareness about existing tension in the conversation they are engaging in and actively guides them as they are drafting their replies to avoid further escalation. As a proof of concept for this paradigm, we design an algorithmic tool that provides such proactive information directly to users, and conduct a user study in a popular discussion platform. Through a mixed methods approach combining surveys with a randomized controlled experiment, we uncover qualitative and quantitative insights regarding how the participants utilize and react to this information. Most participants report finding this proactive paradigm valuable, noting that it helps them to identify tension that they may have otherwise missed and prompts them to further reflect on their own replies and to revise them. These effects are corroborated by a comparison of how the participants draft their reply when our tool warns them that their conversation is at risk of derailing into uncivil behavior versus in a control condition where the tool is disabled. These preliminary findings highlight the potential of this user-centered paradigm and point to concrete directions for future implementations.