Curation Bubbles

Bibliographic Data

ID3172008
AuthorsJon Green (0000-0002-6542-6745, Duke University, corresponding author), Stefan Mccabe (0000-0002-7180-145X, George Washington University, corresponding author), Sarah Shugar (0000-0002-1917-4313), Sarah Shugars (Rutgers, the State University of New Jersey, corresponding author), Hanyu Chwe (0000-0002-7745-8162, Northeastern University, corresponding author), Luke Horgan (Northeastern University, corresponding author), Shuyang Cao (0000-0002-3628-8291, University of Michigan, corresponding author), David Lazer (0000-0002-7991-9110, Northeastern University, corresponding author)
Year2025
Volume119
Issue4
Pages1-19
Publication date2025-01-20
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueAmerican Political Science Review (JOURNAL)
Journal identifiersISSN: 0003-0554 • E-ISSN: 1537-5943
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s0003055424000984
OpenAlexW4406628817
LanguageEN
Citations received11
References cited66

Information on social media is characterized by networked curation processes in which users select other users from whom to receive information, and those users in turn share information that promotes their identities and interests. We argue this allows for partisan "curation bubbles" of users who share and consume content with consistent appeal drawn from a variety of sources. Yet, research concerning the extent of filter bubbles, echo chambers, or other forms of politically segregated information consumption typically conceptualizes information's partisan valence at the source level as opposed to the story level. This can lead domain-level measures of audience partisanship to mischaracterize the partisan appeal of sources' constituent stories-especially for sources estimated to be more moderate. Accounting for networked curation aligns theory and measurement of political information consumption on social media

Political science · Media Influence and Politics

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