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dc.contributor.authorNiklander S.
dc.contributor.authorSoto R.
dc.contributor.authorCrawford B.
dc.contributor.authorDe La Barra C.L.
dc.contributor.authorOlguíín E.
dc.date.accessioned2020-09-02T22:24:37Z
dc.date.available2020-09-02T22:24:37Z
dc.date.issued2016
dc.identifier10.1007/978-3-319-40542-1_10
dc.identifier.citation618, , 63-66
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5574
dc.descriptionToday, once a political corruption case takes place, it is rapidly viralized along the Internet where people can react by posting their opinions through social networks. Such audience reaction is clearly interesting but complex to analyze as people employs stereotypes, metaphors, and ironies expressed in an informal language hard to interpret. In this paper, we present how content analysis can help us to uncover the hidden meaning of a message. We focus here on the automated analysis of two political corruption cases and its corresponding opinions through social networks. In particular, one case involves the current government while the second one mostly involves the opposite side. Interesting results are gathered where the use of Content Analysis allows us to easily process the social network information in order to provide clear feedback. © Springer International Publishing Switzerland 2016.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceStephanidis C.
dc.subjectContent analysis
dc.subjectMass media
dc.subjectSocial networks
dc.subjectAbstracting
dc.subjectComplex networks
dc.subjectCrime
dc.subjectAudience reaction
dc.subjectAutomated analysis
dc.subjectContent analysis
dc.subjectMass media
dc.subjectSocial network informations
dc.subjectSocial networking (online)
dc.titleFacilitating analysis of audience reaction on social networks using content analysis: A case study based on political corruption
dc.typeConference Paper


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