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#IUseTwitterBecause: content analytic study of a trending topic in Twitter

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dc.contributor.authorYaman, Nihal Dulkadir
dc.contributor.authorNihal Dulkadir Yaman
dc.contributor.orcid0000-0002-4094-5274
dc.contributor.orcid0000-0002-5339-7449
dc.date.accessioned2025-11-13T09:39:52Z
dc.date.issued2018-01-03
dc.identifier.doihttps://doi.org/10.1108/itp-02-2017-0029
dc.identifier.endpage277
dc.identifier.issn0959-3845
dc.identifier.issue1
dc.identifier.openalexW2782109098
dc.identifier.startpage256
dc.identifier.urihttps://hdl.handle.net/11421/1812
dc.identifier.urihttps://doi.org/10.1108/itp-02-2017-0029
dc.identifier.volume31
dc.language.isoen
dc.relation.ispartofInformation Technology and People
dc.rightsrestrictedAccess
dc.subjectVariety (cybernetics)
dc.subjectUses and gratifications theory
dc.subjectComputer science
dc.subjectDiffusion theory
dc.subjectDiffusion of innovations
dc.subjectContent (measure theory)
dc.subjectInnovation diffusion
dc.subjectSociology
dc.subjectSocial media
dc.subjectPsychology
dc.subjectKnowledge management
dc.subjectWorld Wide Web
dc.subjectMathematics
dc.subjectSocial science
dc.subjectArtificial intelligence
dc.title#IUseTwitterBecause: content analytic study of a trending topic in Twitter
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5040236845

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