Skip to main content Accessibility help
×
  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • 29 - The Mass Public’s View of Implicit Bias, with Implications for Scientific Communication in a Politically Polarized Age

  • from Section VII - The Public’s (Mis)understanding of Implicit Bias
  • Edited by Jon A. Krosnick, Stanford University, California, Tobias H. Stark, Utrecht University, The Netherlands, Amanda L. Scott, The Strategy Team, Columbus, Ohio
  • Book:
    The Cambridge Handbook of Implicit Bias and Racism
    Published online:
    21 December 2024
    Print publication:
    02 January 2025, pp 745-765

  • Summary

    In this chapter, we examine the public’s understanding of implicit bias, a topic that has only recently caught the public’s attention. Given that political elites often set the contours of debate on political issues, we begin by conducting a systematic content analysis of newspaper headlines and cable news transcripts to assess the prevalence and nature of media coverage of implicit bias. We find that partisan media utilize starkly different frames regarding the scientific validity of the concept of implicit bias, the political intentions of those who use the phrase, and the requisite political recourses (if any). We then utilize two individual-level datasets to examine the mass public’s understanding of implicit bias. An original survey reveals a stark gulf in partisan understandings of implicit bias and an analysis of Project Implicit data highlights the interplay between personalized feedback from the IAT and ideology in shaping evaluations of the IAT. We conclude with a discussion of the challenges of science communication, particularly on issues relating to race, in a politically polarized age.