From Selective Exposure to Selective Information Processing: A Motivated Reasoning Approach

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dc.contributor.authorCamaj, Lindita
dc.date.accessioned2019-07-30T17:46:07Z
dc.date.available2019-07-30T17:46:07Z
dc.date.issued2019-06-30
dc.description.abstractLiterature suggests that while without doubt people engage in selective exposure to information, this does not entail that they also engage in selective avoidance of opinion-challenging information. However, cross-cutting exposure does not always lead to dispassionate deliberation. In this commentary I explore psychological conditions as they apply to attitude-based selection and make an argument that selectivity does not stop at exposure but continues as audiences engage with information they encounter and incorporate in their decision-making. I propose the theory of motivated reasoning as a rich theoretical underpinning that helps us understand selective exposure and selective information processing.en_US
dc.description.departmentSchool of Communicationen_US
dc.identifier10.17645/mac.v7i3.2289en_US
dc.identifier.citationCopyright 2019 by the author; licensee Cogitatio (Lisbon, Portugal). This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY). Recommended citation: Camaj, Lindita. “From Selective Exposure to Selective Information Processing: A Motivated Reasoning Approach.” Media and Communication 7, (2019): 8-11. DOI: 10.17645/mac.v7i3.2289. Reproduced in accordance with the original publisher’s licensing terms and with permission from the author(s).en_US
dc.identifier.orcid0000-0002-5934-6159en_US
dc.identifier.urihttps://hdl.handle.net/10657/4330
dc.language.isoen_USen_US
dc.subjectaudienceen_US
dc.subjectinformationen_US
dc.subjectinformation processingen_US
dc.subjectMotivated reasoningen_US
dc.subjectselective exposureen_US
dc.subjectAudience
dc.subjectInformation
dc.subjectInformation processing
dc.subjectMotivated reasoning
dc.subjectSelective exposure
dc.titleFrom Selective Exposure to Selective Information Processing: A Motivated Reasoning Approachen_US
dc.typeArticleen_US

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