Using Twitter hashtags to gauge real-time changes in public opinion: An examination of the 2016 US presidential election

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Abstract

Polls have long been a tool for gauging public opinion, whether in general or in relation to specific events. Poll results, however, take a few days to be collected and published. Trending twitter hashtags, in contrast, are keywords that capture public sentiments about current events and could serve as a data source for gauging real-time changes in public opinion. This paper examines trending Twitter hashtags following the release of James Comey’s letter to Congress shortly before the 2016 US presidential election day. I find that trending Twitter hashtags mirror and, more importantly, precede the poll results of the same period.

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APA

Lee, H. W. (2018). Using Twitter hashtags to gauge real-time changes in public opinion: An examination of the 2016 US presidential election. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11186 LNCS, pp. 168–175). Springer Verlag. https://doi.org/10.1007/978-3-030-01159-8_16

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