Characterizing the 2016 U.S. Presidential Campaign using Twitter Data

Abstract

This paper models the 2016 U.S. presidential campaign in the context of Twitter. The study analyzes the presidential candidates’ Twitter activity by crawling their real-time tweets. More than 16,000 tweets were observed in this work. We study the interactions between the politicians and their Twitter followers in the retweet and favorite networks. The most frequently mentioned unigrams are presented, which serve the best featuring the political focuses of a candidate. The mention network among the politicians was constructed by parsing the content of their tweets. In this paper, we also study the Twitter profile of the users who follow the presidential candidates. The gender ratio among the Twitter subscribers is examined using the government’s census data. We also investigate the geography of Twitter supporters for each candidate.

Authors and Affiliations

Ignasi Vegas, Tina Tian, Wei Xiong

Keywords

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  • EP ID EP139021
  • DOI 10.14569/IJACSA.2016.071002
  • Views 83
  • Downloads 0

How To Cite

Ignasi Vegas, Tina Tian, Wei Xiong (2016). Characterizing the 2016 U.S. Presidential Campaign using Twitter Data. International Journal of Advanced Computer Science & Applications, 7(10), 12-19. https://europub.co.uk./articles/-A-139021