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Discourse involves two perspectives: a person's intention in making anutterance and others' perception of that utterance. The misalignment betweenthese perspectives can lead to undesirable outcomes, such as misunderstandings,low productivity and even overt strife. In this work, we present acomputational framework for exploring and comparing both perspectives in onlinepublic discussions.  We combine logged data about public comments on Facebook with a survey ofover 16,000 people about their intentions in writing these comments or abouttheir perceptions of comments that others had written. Unlike previous studiesof online discussions that have largely relied on third-party labels toquantify properties such as sentiment and subjectivity, our approach alsodirectly captures what the speakers actually intended when writing theircomments. In particular, our analysis focuses on judgments of whether a commentis stating a fact or an opinion, since these concepts were shown to be oftenconfused.  We show that intentions and perceptions diverge in consequential ways. Peopleare more likely to perceive opinions than to intend them, and linguistic cuesthat signal how an utterance is intended can differ from those that signal howit will be perceived. Further, this misalignment between intentions andperceptions can be linked to the future health of a conversation: when acomment whose author intended to share a fact is misperceived as sharing anopinion, the subsequent conversation is more likely to derail into uncivilbehavior than when the comment is perceived as intended. Altogether, thesefindings may inform the design of discussion platforms that better promotepositive interactions.

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