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dc.contributor.authorSormanen, Niina
dc.contributor.authorRohila, Jukka
dc.contributor.authorLauk, Epp
dc.contributor.authorUskali, Turo
dc.contributor.authorJouhki, Jukka
dc.contributor.authorPenttinen, Maija
dc.date.accessioned2016-01-13T07:42:13Z
dc.date.available2017-04-29T21:45:05Z
dc.date.issued2016
dc.identifier.citationSormanen, N., Rohila, J., Lauk, E., Uskali, T., Jouhki, J., & Penttinen, M. (2016). Chances and Challenges of Computational Data Gathering and Analysis : The case of issue-attention cycles on Facebook. <i>Digital Journalism</i>, <i>4</i>(1), 55-74. <a href="https://doi.org/10.1080/21670811.2015.1096614" target="_blank">https://doi.org/10.1080/21670811.2015.1096614</a>
dc.identifier.otherCONVID_25258955
dc.identifier.otherTUTKAID_67589
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/48335
dc.description.abstractDigital and social media and large available data-sets generate various new possibilities and challenges for conducting research focused on perpetually developing online news ecosystems. This paper presents a novel computational technique for gathering and processing large quantities of data from Facebook. We demonstrate how to use this technique for detecting and analysing issue-attention cycles and news flows in Facebook groups and pages. Although the paper concentrates on a Finnish Facebook group as a case study, the demonstrated method can be used for gathering and analysing large sets of data from various social network sites and national contexts. The paper also discusses Facebook platform regulations concerning data gathering and ethical issues in conducting online research.
dc.language.isoeng
dc.publisherRoutledge, Taylor & Francis Group
dc.relation.ispartofseriesDigital Journalism
dc.subject.othercomputational data gathering
dc.subject.otherdata warehouse
dc.subject.otherdigital and social media research
dc.subject.otherhybrid news ecosystem
dc.subject.otherissue-attention cycle
dc.subject.othernews flows
dc.subject.othersemi-public data
dc.titleChances and Challenges of Computational Data Gathering and Analysis : The case of issue-attention cycles on Facebook
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201601121093
dc.contributor.laitosHistorian ja etnologian laitosfi
dc.contributor.laitosViestintätieteiden laitosfi
dc.contributor.laitosDepartment of History and Ethnologyen
dc.contributor.laitosDepartment of Communicationen
dc.contributor.oppiaineEtnologiafi
dc.contributor.oppiaineJournalistiikkafi
dc.contributor.oppiaineEthnologyen
dc.contributor.oppiaineJournalismen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2016-01-12T10:15:07Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange55-74
dc.relation.issn2167-0811
dc.relation.numberinseries1
dc.relation.volume4
dc.type.versionacceptedVersion
dc.rights.copyright© 2015 Taylor & Francis. This is a final draft version of an article whose final and definitive form has been published by Taylor & Francis. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoFacebook
jyx.subject.urihttp://www.yso.fi/onto/yso/p21063
dc.relation.doi10.1080/21670811.2015.1096614
dc.type.okmA1


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