<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication data for: Measure for Measure: An Experimental Test of Online Political Media Exposure</titl><IDNo agency="DOI">doi:10.7910/DVN/25520</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2014-05-02</distDate></distStmt><verStmt source="archive"><version date="2014-05-01" type="RELEASED">1</version></verStmt><biblCit>Guess, Andrew, 2014, "Replication data for: Measure for Measure: An Experimental Test of Online Political Media Exposure", https://doi.org/10.7910/DVN/25520, Harvard Dataverse, V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication data for: Measure for Measure: An Experimental Test of Online Political Media Exposure</titl><IDNo agency="DOI">doi:10.7910/DVN/25520</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Columbia University">Guess, Andrew</AuthEnty></rspStmt><prodStmt><producer>Political Analysis</producer></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distrbtr URI="http://dvn.iq.harvard.edu/dvn/">IQSS Dataverse Network</distrbtr><depDate>2014-04-15</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/25520"/></citation><stdyInfo><subject><keyword>media, Internet, exposure, measurement, Turk</keyword></subject><abstract>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.</abstract><sumDscr/></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relPubl><citation><titlStmt><titl>Guess, Andrew. 2014. "Measure for Measure: An Experimental Test of Online Political Media Exposure."  Political Analysis, In Press. &lt;a href= "link to article" target= "_new">article available here&lt;/a></titl></titlStmt><biblCit>Guess, Andrew. 2014. "Measure for Measure: An Experimental Test of Online Political Media Exposure."  Political Analysis, In Press. &lt;a href= "link to article" target= "_new">article available here&lt;/a></biblCit></citation></relPubl></othrStdyMat></stdyDscr><otherMat ID="f2461904" URI="https://dataverse.harvard.edu/api/access/datafile/2461904" level="datafile"><labl>M4Mdata.zip</labl><txt>Data files and code to replicate tables and figures in the paper</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/zip</notes></otherMat></codeBook>