不要让我被误解：比较在线讨论中的意图和感知
Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions
摘要：
话语涉及两个方面：一是说话人的意图，二是他人对话语的理解。这些观点之间的不一致可能导致不希望的结果，如误解，低生产力，甚至公开的冲突。在这项工作中，我们提出了一个计算框架，探索和比较这两个角度在网上公开讨论。我们将Facebook上公开评论的记录数据与对16，000多人的调查相结合，调查内容涉及他们撰写这些评论的意图或他们对其他人撰写的评论的看法。与之前在线讨论的研究不同，这些研究主要依赖于第三方标签来量化情感和主观性等属性，我们的方法还直接捕捉了发言者在撰写评论时的实际意图。特别是，我们的分析集中在判断评论是陈述事实还是观点，因为这些概念经常被混淆。我们表明，意图和看法分歧，在相应的方式。人们更可能感知到观点而不是意图表达观点，而表明话语意图的语言线索可能与表明话语将如何被感知的语言线索不同。此外，意图和感知之间的这种不一致可能与对话的未来健康有关：当作者意图分享事实的评论被误解为分享观点时，随后的对话更有可能出轨成为不文明行为，而不是当评论被认为是故意的。总而言之，这些发现可以为更好地促进积极互动的讨论平台的设计提供信息。
英文摘要：
Discourse involves two perspectives: a person's intention in making an utterance and others' perception of that utterance. The misalignment between these perspectives can lead to undesirable outcomes, such as misunderstandings, low productivity and even overt strife. In this work, we present a computational framework for exploring and comparing both perspectives in online public discussions. We combine logged data about public comments on Facebook with a survey of over 16,000 people about their intentions in writing these comments or about their perceptions of comments that others had written. Unlike previous studies of online discussions that have largely relied on third-party labels to quantify properties such as sentiment and subjectivity, our approach also directly captures what the speakers actually intended when writing their comments. In particular, our analysis focuses on judgments of whether a comment is stating a fact or an opinion, since these concepts were shown to be often confused. We show that intentions and perceptions diverge in consequential ways. People are more likely to perceive opinions than to intend them, and linguistic cues that signal how an utterance is intended can differ from those that signal how it will be perceived. Further, this misalignment between intentions and perceptions can be linked to the future health of a conversation: when a comment whose author intended to share a fact is misperceived as sharing an opinion, the subsequent conversation is more likely to derail into uncivil behavior than when the comment is perceived as intended. Altogether, these findings may inform the design of discussion platforms that better promote positive interactions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
