Entertainment, Intelligent, or Hybrid Programming? An Automated Content Analysis of 12 Years of Political Satire Interviews. Issue 2 (15th March 2017)

• Record Type: Journal Article
• Authors: Becker, Amy B.; Goldberg, Andrew B.
• Is Part Of: Atlantic journal of communication. Volume 25:Issue 2(2017)
• Page Start: 127
• Page End: 137
• Publication Date: 2017-03-15
• Subjects: Communication -- Periodicals; 302.205
• DOI: 10.1080/15456870.2017.1293670
• Languages: English
• ISSNs: 1545-6870

Abstract

ABSTRACT: The research considers the balance of intellectual versus entertainment-oriented individuals appearing as interview guests on political satire programs. Specifically, the analysis employs semi-supervised learning to categorize the occupations of individuals appearing on The Daily Show and The Colbert Report between 2003 and 2014 ( N = 3, 507). The results confirm that satire programs have become an important outlet for politicians and journalists looking to connect with a younger audience. More often than not, these guest appearances privilege a newsworthy and intellectually oriented discussion of contemporary issues and ideas as opposed to the promotion of entertainment content. Important to note, the data set represents the largest body of political satire content analyzed to date and the results confirm the value of applying automated and semi-supervised learning coding within communication research. We conclude by discussing the methodological contributions of our coding process, future directions for political comedy research, and the scalable potential of automated coding efforts.