Credibility by automation

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorPääkkönen, Juho
dc.contributor.authorLaaksonen, Salla Maaria
dc.contributor.authorJauho, Mikko
dc.contributor.departmentDepartment of Computer Science
dc.contributor.departmentUniversity of Helsinki
dc.date.accessioned2020-03-06T15:25:10Z
dc.date.available2020-03-06T15:25:10Z
dc.date.issued2020-08
dc.description.abstractSocial media analytics is a burgeoning new field associated with high promises of societal relevance and business value but also methodological and practical problems. In this article, we build on the sociology of expectations literature and research on expertise in the interaction between humans and machines to examine how analysts and clients make their expectations about social media analytics credible in the face of recognized problems. To investigate how this happens in different contexts, we draw on thematic interviews with 10 social media analytics and client companies. In our material, social media analytics appears as a field facing both hopes and skepticism – toward data, analysis methods, or the users of analytics – from both the clients and the analysts. In this setting, the idea of automated analysis through algorithmic methods emerges as a central notion that lends credibility to expectations about social media analytics. Automation is thought to, first, extend and make expert interpretation of messy social media data more rigorous; second, eliminate subjective judgments from measurement on social media; and, third, allow for coordination of knowledge management inside organizations. Thus, ideas of automation importantly work to uphold the expectations of the value of analytics. Simultaneously, they shape what kinds of expertise, tools, and practices come to be involved in the future of analytics as knowledge production.en
dc.description.versionPeer revieweden
dc.format.mimetypeapplication/pdf
dc.identifier.citationPääkkönen , J , Laaksonen , S M & Jauho , M 2020 , ' Credibility by automation : Expectations of future knowledge production in social media analytics ' , Convergence , vol. 26 , no. 4 , 1354856520901839 , pp. 790-807 . https://doi.org/10.1177/1354856520901839en
dc.identifier.doi10.1177/1354856520901839
dc.identifier.issn1354-8565
dc.identifier.otherPURE UUID: 3954ab6e-d45e-48ec-b56c-25c3df572912
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/3954ab6e-d45e-48ec-b56c-25c3df572912
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=85079127880&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/53821877/P_kk_nen_Credibility.1354856520901839.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/43376
dc.identifier.urnURN:NBN:fi:aalto-202003062419
dc.language.isoenen
dc.publisherSAGE Publications Inc.
dc.relation.ispartofseriesConvergenceen
dc.rightsopenAccessen
dc.subject.keywordalgorithmic knowledge production
dc.subject.keywordAnalytics as business
dc.subject.keywordanalytics in client companies
dc.subject.keywordautomation
dc.subject.keywordbig data
dc.subject.keywordcredibility
dc.subject.keyworddata analytics
dc.subject.keyworddata imaginary
dc.subject.keywordobjectivity
dc.subject.keywordqualitative methods
dc.subject.keywordsocial media analytics
dc.subject.keywordsociology of expectations
dc.titleCredibility by automationen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
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