1,234
Views
27
CrossRef citations to date
0
Altmetric
Articles

The Effects of Frame, Appeal, and Outcome Extremity of Antismoking Messages on Cognitive Processing

&
Pages 219-227 | Published online: 04 May 2009
 

Abstract

Research on the impact of antismoking advertisements in countermarketing cigarette advertising is equivocal. Although many studies examined how different message appeal types influence people's attitudes and behavior, there have been few studies that have explored the mechanism of how individuals attend to and remember antismoking information. This study examined how message attributes of antismoking TV ads (frame, appeal type, and outcome extremity) interacted to influence people's attention (secondary task reaction time) and memory (recognition). Antismoking public service announcements were chosen that were either loss- or gain-framed, had either a health or social appeal, or had either a more or less extreme outcome described in the message. Among the key findings were that loss-framed messages with more extreme outcomes required the most processing resources (i.e., had the slowest secondary task reaction times) and were the best remembered (i.e., were best recognized). These findings indicate ways that different message attributes affect individuals' cognitive processing, and they are discussed in light of prior framing and persuasion research.

ACKNOWLEDGMENT

The authors would like to acknowledge the substantial contributions of two anonymous reviewers of this article.

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 371.00 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.