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The Dynamics of Public Attention: Agenda‐Setting Theory Meets Big Data
dc.contributor.authorRussell Neuman, W.en_US
dc.contributor.authorGuggenheim, Laurenen_US
dc.contributor.authorMo Jang, S.en_US
dc.contributor.authorBae, Soo Youngen_US
dc.date.accessioned2014-05-23T15:59:20Z
dc.date.available2015-06-01T15:48:46Zen_US
dc.date.issued2014-04en_US
dc.identifier.citationRussell Neuman, W.; Guggenheim, Lauren; Mo Jang, S.; Bae, Soo Young (2014). "The Dynamics of Public Attention: Agenda‐Setting Theory Meets Big Data." Journal of Communication 64(2): 193-214.en_US
dc.identifier.issn0021-9916en_US
dc.identifier.issn1460-2466en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/106877
dc.description.abstractResearchers have used surveys and experiments to better understand communication dynamics, but confront consistent distortion from self‐report data. But now both digital exposure and resulting expressive behaviors (such as tweets) are potentially accessible for direct analysis with important ramifications for the formulation of communication theory. We utilize “big data” to explore attention and framing in the traditional and social media for 29 political issues during 2012. We find agenda setting for these issues is not a one‐way pattern from traditional media to a mass audience, but rather a complex and dynamic interaction. Although the attentional dynamics of traditional and social media are correlated, evidence suggests that the rhythms of attention in each respond to a significant degree to different drummers .en_US
dc.publisherWiley Subscription Services, Inc.en_US
dc.titleThe Dynamics of Public Attention: Agenda‐Setting Theory Meets Big Dataen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelCommunicationsen_US
dc.subject.hlbtoplevelSocial Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/106877/1/jcom12088.pdf
dc.identifier.doi10.1111/jcom.12088en_US
dc.identifier.sourceJournal of Communicationen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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