447
Views
2
CrossRef citations to date
0
Altmetric
Articles

How Slogans Curate Public Opinion: Hard Lessons from Lakoff and the Linguists

Pages 433-447 | Received 15 Jun 2018, Accepted 31 Oct 2018, Published online: 02 Jan 2019
 

Abstract

Many a policy scholar has viewed election results with bewilderment: How can so many people persistently vote against their self-interest? In an attempt to at least partially address this conundrum, this article introduces persuasion techniques that can render good research and evidence largely irrelevant in the court of public opinion. By using U.S. debates about taxation and economic inequality as the linguistic setting of interest, the study illustrates the mechanics of curating public opinion at both ends of the political spectrum. Solutions to economic inequality are complex, yet public opinion can turn toward or away from a proposed policy reform when a few reductive key words distill complexity down to a convincing message: the micro-narrative. Critically examining the broad narrative arc of the policy process is not enough; one must also examine the social construction occurring when word choice is used as persuasive weaponry in the selling of policy reform. The study finishes with a research agenda and a provocation for researchers regarding their role in policy reform. Should academicians remain behind the research curtain, or should they actively critique or even guide the narrative selling of their research?

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 177.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.