Social Media, Opinion Polls, and the Use of Persuasive Messages During the 2016 US Election Primaries

Patrícia Rossini, Jeffrey Hemsley, Sikana Tanupabrungsun, Feifei Zhang, Jennifer Stromer-Galley

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Political campaigns’ use of digital technologies has been a topic of scholarly concern for over two decades, but most studies have been focused on analyzing the use of digital platforms without considering contextual factors of the race, like public opinion polls. Opinion polls are an important information source for citizens and candidates and provide the latter with information that might drive strategic communication. In this article, we explore the relationship between the use of social media in the 2016 US presidential elections and candidates’ standing in public opinion polls, focusing on the surfacing and primary stages of the campaign. We use automated content analysis to categorize social media posts from all 21 Republican and Democratic candidates. Results indicate that a candidate’s performance in the polls drives certain communicative strategies, such as the use of messages of attacks and advocacy, as well as the focus on personal image.

Original languageEnglish (US)
JournalSocial Media and Society
Volume4
Issue number3
DOIs
StatePublished - Jul 1 2018

Fingerprint

opinion poll
Hard facing
social media
candidacy
election
Communication
public opinion
campaign
presidential election
content analysis
citizen
communication
performance

Keywords

  • digital campaigns
  • Facebook
  • machine learning
  • political campaigns
  • public opinion polls
  • Twitter

ASJC Scopus subject areas

  • Cultural Studies
  • Communication
  • Computer Science Applications

Cite this

Social Media, Opinion Polls, and the Use of Persuasive Messages During the 2016 US Election Primaries. / Rossini, Patrícia; Hemsley, Jeffrey; Tanupabrungsun, Sikana; Zhang, Feifei; Stromer-Galley, Jennifer.

In: Social Media and Society, Vol. 4, No. 3, 01.07.2018.

Research output: Contribution to journalArticle

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