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Curation Bubbles
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PRE
AI
DOI：10.1017/S0003055424000984.png)
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Abstract
En 中文
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.
Keywords:
SELECTIVE EXPOSURE
ECHO CHAMBERS
IDEOLOGICAL SEGREGATION
POLITICAL INFORMATION
FILTER BUBBLES
SOCIAL MEDIA
FAKE NEWS
ONLINE
TWITTER
COMMUNICATION
Journal
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5.8
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8.7K
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2.1W
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