Record Details

Replication Data for: (Almost) Everything in Moderation: New Evidence on Americans' Online Media Diets

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

View Archive Info
 
 
Field Value
 
Title Replication Data for: (Almost) Everything in Moderation: New Evidence on Americans' Online Media Diets
 
Identifier https://doi.org/10.7910/DVN/ZFE3NE
 
Creator Guess, Andrew M.
 
Publisher Harvard Dataverse
 
Description Does the internet facilitate selective exposure to politically congenial content? To answer this question, I introduce and validate large-N behavioral data on Americans' online media consumption in both 2015 and 2016. I then construct a simple measure of media diet slant and use machine classification to identify individual articles related to news about politics. I find that most people across the political spectrum have relatively moderate media diets, about a quarter of which consist of mainstream news websites and portals. Quantifying the similarity of Democrats' and Republicans' media diets, I find nearly 65% overlap in the two groups' distributions in 2015 and roughly 50% in 2016. An exception to this picture is a small group of partisans who drive a disproportionate amount of traffic to ideologically slanted websites. Overall, the findings support a view that if online "echo chambers" exist, they are a reality for relatively few people who may nonetheless wield disproportionate influence and visibility in society.
 
Subject Social Sciences
Internet
Politics and government
Media exposure
Echo chambers
Selective exposure
 
Contributor Guess, Andrew M.
 
Source Bakshy, Etyan; Messing, Solomon; Adamic, Lada, 2019, "Replication Data for: Exposure to Ideologically Diverse News and Opinion on Facebook", https://doi.org/10.7910/DVN/AAI7VA, Harvard Dataverse, V1



comScore, proprietary data vendor. For information, see:
Sood, Gaurav; Laohaprapanon, Suriyan, 2018, "Category of content of unique domains in comScore data", https://doi.org/10.7910/DVN/DXSNFA, Harvard Dataverse, V2



Guess, Andrew, Brendan Nyhan, and Jason Reifler, 2020, "Replication Data for: "Exposure to untrustworthy websites in the 2016 U.S. election"", https://doi.org/10.7910/DVN/YLW1AZ, Harvard Dataverse, V1, UNF:6:kg17m3N3a82vt+m61Z1Sdg==