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Title: Replication data for: Measure for Measure: An Experimental Test of Online Political Media Exposure      
dateReleased:
05-02-2014
downloadURL: http://dx.doi.org/10.7910/DVN/25520
ID:
doi:10.7910/DVN/25520
description:
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 explored the shortcomings of these measures, tested proxies, and proposed refinements. But lacking an objective baseline, such investigations can only make relative comparisons. By focusing specifically on recent Internet activity stored by web browsers, this paper's methodology captures individuals' actual consumption of political media. Using experiments embedded within an online survey, I test three different measures of media exposure and compare them to the actual exposure. I find that open-ended survey prompts reduce overreporting and generate an accurate picture of the overall audience for online news. I also show that they predict news recall at least as well as general knowledge. Together, these results demonstrate that some ways of asking questions about media use are better than others. I conclude with a discussion of survey-based exposure measures for online political information and the applicability of this paper's direct method of exposure measurement for future studies.
description:
Guess, Andrew, 2014, "Replication data for: Measure for Measure: An Experimental Test of Online Political Media Exposure", http://dx.doi.org/10.7910/DVN/25520, Harvard Dataverse, V1
name:
Guess, Andrew
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997