Don’t Let Me Be Misunderstood:Comparing Intentions and Perceptions in Online Discussions

Don’t Let Me Be Misunderstood:Comparing Intentions and Perceptions in Online Discussions
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不要让我被误解:比较在线讨论中的意图和看法

DOI:
10.1145/3366423.3380273
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发表时间:
2020
期刊:
Proceedings of WWW
影响因子:
--
通讯作者:
Danescu-Niculescu-Mizil, Cristian
Danescu-Niculescu-Mizil, Cristian
中科院分区:
--
文献类型:
--
作者:
Chang, Jonathan P.;Cheng, Justin;Danescu-Niculescu-Mizil, Cristian

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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discussions.We联合收割机记录的数据在Facebook上的公共评论超过16,000人的调查,他们的意图写这些评论或他们的看法,别人写的评论。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,因为这些概念被证明是经常混淆的。我们表明,意图和感知在相应的方式分歧。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,这些发现可能会为讨论平台的设计提供信息,以更好地促进积极的互动。
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.
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