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Facilitating analysis of mass media influence through content analysis and emotional computing

dc.contributor.authorNiklander S.
dc.date.accessioned2020-09-02T22:24:41Z
dc.date.available2020-09-02T22:24:41Z
dc.date.issued2018
dc.identifier10.1007/978-3-319-92270-6_62
dc.identifier.citation850, , 435-438
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5604
dc.descriptionDuring the last years, different HCI applications have successfully employed sentimental, emotional, and affective computing algorithms for solving various recognition, interpretation and simulations tasks related to the study of human affects. In this paper, we combine content and sentimental analysis to facilitate the understanding of how mass media may influence and/or control a given information context. We employ as case study the army and police corruption information. We analyze the speeches constructed by the press and the comments that users post on the mass medias web sites. Interesting results are obtained where all topics that readers visibilize and/or invisibilize when constructing their representations about the study cases are precisely detected. © Springer International Publishing AG, part of Springer Nature 2018.
dc.language.isoen
dc.publisherSpringer Verlag
dc.sourceStephanidis C.
dc.subjectContent analysis
dc.subjectSentimental analysis
dc.subjectSocial networks
dc.subjectComputers
dc.subjectSocial networking (online)
dc.subjectAffective Computing
dc.subjectContent analysis
dc.subjectEmotional computing
dc.subjectInformation contexts
dc.subjectMass media
dc.subjectSentimental analysis
dc.subjectStudy case
dc.subjectComputer science
dc.titleFacilitating analysis of mass media influence through content analysis and emotional computing
dc.typeConference Paper


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