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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andrews, W., Katz, J., Patel, J.: Latest Election Polls 2016. The New York Times (2016). https://www.nytimes.com/interactive/2016/us/elections/polls.html?_r=0%29. Accessed 23 July 2018
Ceron, A., Curini, L., Lacus, S.M., Porro, G.: Every tweet counts? How sentiment analysis of social media can improve our knowledge of citizens’ political preferences with an application to Italy and France. New Media Soc. 16(2), 340–358 (2014)
Chung, J., Mustafaraj, E.: Can collective sentiment expressed on twitter predict political elections? In: Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, pp. 1770–1771. AAAI Press, Menlo Park (2011)
Galtung, J., Ruge, M.H.: The structure of foreign news. J. Peace Res. 2(1), 64–91 (1965)
O’Connor, B., Balasubramanyan R., Routledge, B.R., Smith N.A.: From tweets to polls: linking text sentiment to public opinion time series. In: Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 122–129. AAAI Press, Menlo Park (2010)
Shaban, T.A., Hexter, L., Choi, J.D.: Event analysis on the 2016 U.S. Presidential election using social media. In: Ciampaglia, G.L., Mashhadi, A., Yasseri, T. (eds.) SocInfo 2017. LNCS, vol. 10539, pp. 201–217. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67217-5_13
Silver, N.: Election update: the how-full-is-this-glass edition. FiveThirtyEight (2017). http://fivethirtyeight.com/features/election-update-the-how-full-is-this-glass-election/. Accessed 23 July 2018
Silver, N.: The real story of 2016. FiveThirtyEight (2017). http://fivethirtyeight.com/features/the-real-story-of-2016/. Accessed 23 July 2018
Silver, N.: The Comey letter probably cost clinton the election. FiveThirtyEight (2017). https://fivethirtyeight.com/features/the-comey-letter-probably-cost-clinton-the-election/. Accessed 23 July 2018
Tumasjan, A., Sprenger, T.O., Sandner, P.G., Welpe, I.M.: Predicting elections with Twitter: what 140 characters reveal about political sentiment. In: Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pp. 178–185. AAAI Press, Menlo Park (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Lee, H.W. (2018). Using Twitter Hashtags to Gauge Real-Time Changes in Public Opinion: An Examination of the 2016 US Presidential Election. In: Staab, S., Koltsova, O., Ignatov, D. (eds) Social Informatics. SocInfo 2018. Lecture Notes in Computer Science(), vol 11186. Springer, Cham. https://doi.org/10.1007/978-3-030-01159-8_16
Download citation
DOI: https://doi.org/10.1007/978-3-030-01159-8_16
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01158-1
Online ISBN: 978-3-030-01159-8
eBook Packages: Computer ScienceComputer Science (R0)