The Increasing Frequency of Terms Denoting Political Extremism in U.S. and U.K. News Media
David Rozado and
Eric Kaufmann
Additional contact information
David Rozado: ECL, Otago Polytechnic, Dunedin 9054, New Zealand
Eric Kaufmann: Department of Political Science, Birkbeck College, University of London, London WC1E 7HU, UK
Social Sciences, 2022, vol. 11, issue 4, 1-16
Abstract:
The term political extremism is commonly used to refer to political attitudes considered to be outside the ideological mainstream. This study leverages computational content analysis of big data to longitudinally examine (1970–2019) the prevalence of terms denoting far-right and far-left political extremism in more than 30 million written news and opinion articles from 54 news media outlets popular in the United States and the United Kingdom. We find that the usage of terms denoting right and left political extremism has been increasing across news media outlets in both countries. This trend is particularly stark for far-right-denoting terms, which have been growing in prevalence since at least 2008. Most U.S. and U.K. news media outlets tend to use far-right-denoting terms substantially more often than they use far-left-denoting terms. The rising prevalence in news media of terms denoting political extremism is strongly correlated with similar growing usage of terms denoting prejudice and social justice discourse.
Keywords: news media; political extremism; far-right; far-left; computational social science (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2076-0760/11/4/167/pdf (application/pdf)
https://www.mdpi.com/2076-0760/11/4/167/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:11:y:2022:i:4:p:167-:d:788271
Access Statistics for this article
Social Sciences is currently edited by Ms. Yvonne Chu
More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().