Skip to main content Accessibility help

We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.

Close cookie message
×
  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

  • Getting the Race Wrong: A Case Study of Sampling Bias and Black Voters in Online, Opt-In Polls

  • Daniel J. Hopkins, William Halm, Melissa Huerta, Josearmando Torres
  • Journal:
    Journal of Race, Ethnicity and Politics , First View
    Published online by Cambridge University Press:
    30 July 2024, pp. 1-13
    • Article
      • You have access
      • Open access
    • PDF
    • HTML
    • Export citation

  • Researchers are increasingly reliant on online, opt-in surveys. But prior benchmarking exercises employ national samples, making it unclear whether such surveys can effectively represent Black respondents and other minorities nationwide. This paper presents the results of uncompensated online and in-person surveys administered chiefly in one racially diverse American city—Philadelphia—during its 2023 mayoral primary. The participation rate for online surveys promoted via Facebook and Instagram was .4%, with White residents and those with college degrees more likely to respond. Such biases help explain why neither our surveys nor public polls correctly identified the Democratic primary’s winner, an establishment-backed Black Democrat. Even weighted, geographically stratified online surveys typically underestimate the winner’s support, although an in-person exit poll does not. We identify some similar patterns in Chicago. These results indicate important gaps in the populations represented in contemporary opt-in surveys and suggest that alternative survey modes help reduce them.