The appeal to political sentiment: An analysis of Donald Trump's and Hillary Clinton's speech themes and discourse strategies in the 2016 US presidential election. (October 2018)

• Record Type: Journal Article
• Authors: Liu, Dilin; Lei, Lei
• Is Part Of: Discourse, context & media. Volume 25(2018)
• Page Start: 143
• Page End: 152
• Publication Date: 2018-10
• Subjects: Trump -- Election -- Machine-based methods -- Sentiment analysis -- Structural topic modeling; Discourse analysis -- Periodicals; Digital media -- Periodicals; Mass media and language -- Periodicals; Communication -- Periodicals; Communication; Digital media; Discourse analysis; Mass media and language; Periodicals; 401.4105
• DOI: 10.1016/j.dcm.2018.05.001
• Languages: English
• ISSNs: 2211-6958

Abstract

Abstract: This study investigated Hillary Clinton's and Donald Trump's speeches during the 2016 presidential election to identify their sentiments and discourse themes and strategies by using machine-based methods, including computerized sentence-level sentiment analysis, structural topic modeling for themes, and word2vec exploration for thematic associations. The machine-based automatic analyses were also complemented by a qualitative examination of the speech data motivated by the top thematic terms identified by the automatic analyses. The results of the study revealed that Trump's speeches were significantly more negative than Clinton's. The results also provided evidence supporting many previous findings regarding Clinton's and Trump's discourse/rhetoric styles and major campaign themes produced by studies using different research methods. The results of this study might also help explain Trump's victory despite the significant more negative sentiment in his discourse.