Abstract
Many studies of media effects use self-reported news expo- sure as their key independent variable without establishing its validity. Motivated by anecdotal evidence that people's reports of their own me- dia use can differ considerably from independent assessments, this study examines systematically the accuracy of survey-based self-reports of news exposure. I compare survey estimates to Nielsen estimates, which do not rely on self-reports. Results show severe overreporting of news exposure. Survey estimates of network news exposure follow trends in Nielsen ratings relatively well, but exaggerate exposure by a factor of 3 on average and as much as eightfold for some demographics. It follows that apparent media effects may arise not because of differences in ex- posure, but because of unknown differences in the accuracy of reporting exposure.
Keywords
Affiliated Institutions
Related Publications
Measure for Measure: An Experimental Test of Online Political Media Exposure
Self-reported measures of media exposure are plagued with error and questions about validity. Since they are essential to studying media effects, a substantial literature has ex...
Who Gets the News? Alternative Measures of News Reception and Their Implications for Research
This article investigates patterns in audience reception of 16 news stories that received prominent media coverage in the summer and fall of 1989. Using a national sample of Ame...
The Association of Knowledge with Concern About Global Warming: Trusted Information Sources Shape Public Thinking
During the last decade, a great deal of news media attention has focused on informing the American public about scientific findings on global warming (GW). Has learning this sor...
A National Registry to Determine the Distribution and Prevalence of Parkinson’s Disease in Thailand: Implications of Urbanization and Pesticides as Risk Factors for Parkinson’s Disease
<i>Background:</i> Parkinson’s disease (PD) occurs worldwide but prior to this review of data from the Thailand Parkinson’s Disease Registry there had been no nation...
Random Allocation in Observational Data
Conventional observational epidemiology has an unenviable reputation for generating false-positive findings,1,2 or "scares," as others call them.3 In 1993, for example, the New ...
Publication Info
- Year
- 2009
- Type
- article
- Volume
- 73
- Issue
- 1
- Pages
- 130-143
- Citations
- 542
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1093/poq/nfp002