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Conference Paper: A preliminary analysis on student postings on Facebook and blogs in an internship course in information management

TitleA preliminary analysis on student postings on Facebook and blogs in an internship course in information management
Authors
Issue Date2017
PublisheriSchools.
Citation
iConference, Wuhan, China, 22-25 March 2017: Effect • Expand • Evolve: Global collaboration across the Information Community. In iConference 2017 Proceedings, p. 517-524 How to Cite?
AbstractThis study analyzes student postings on Facebook and blogs in the same internship course across six years in an Information Management program. A two-level coding scheme on knowledge management and socio-emotional support was adapted to encode the postings. Association rule mining was applied to discover relationships between code categories; automated classification models were built and evaluated in various compositions of the categories. Preliminary findings disclosed that students posted messages of emotional expressions and social support, as well as those showing knowledge capturing and knowledge sharing processes. Preliminary results of classification experiments demonstrate the feasibility of automated analysis. It is also found that postings in the two platforms, Facebook and blogs, are mostly indistinguishable except for those in the social support categories.
DescriptionHosts: Wuhan University School of Information Management and the Sungkyunkwan University Library & Information Science and Data Science Department
Persistent Identifierhttp://hdl.handle.net/10722/242843
ISBN

 

DC FieldValueLanguage
dc.contributor.authorCheong, CWL-
dc.contributor.authorHu, X-
dc.contributor.authorChu, SKW-
dc.contributor.authorNg, N-
dc.date.accessioned2017-08-25T02:46:08Z-
dc.date.available2017-08-25T02:46:08Z-
dc.date.issued2017-
dc.identifier.citationiConference, Wuhan, China, 22-25 March 2017: Effect • Expand • Evolve: Global collaboration across the Information Community. In iConference 2017 Proceedings, p. 517-524-
dc.identifier.isbn978-0-9884900-4-8-
dc.identifier.urihttp://hdl.handle.net/10722/242843-
dc.descriptionHosts: Wuhan University School of Information Management and the Sungkyunkwan University Library & Information Science and Data Science Department-
dc.description.abstractThis study analyzes student postings on Facebook and blogs in the same internship course across six years in an Information Management program. A two-level coding scheme on knowledge management and socio-emotional support was adapted to encode the postings. Association rule mining was applied to discover relationships between code categories; automated classification models were built and evaluated in various compositions of the categories. Preliminary findings disclosed that students posted messages of emotional expressions and social support, as well as those showing knowledge capturing and knowledge sharing processes. Preliminary results of classification experiments demonstrate the feasibility of automated analysis. It is also found that postings in the two platforms, Facebook and blogs, are mostly indistinguishable except for those in the social support categories.-
dc.languageeng-
dc.publisheriSchools.-
dc.relation.ispartofiConference-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.rightsCopyright 2017 the authors-
dc.titleA preliminary analysis on student postings on Facebook and blogs in an internship course in information management-
dc.typeConference_Paper-
dc.identifier.emailHu, X: xiaoxhu@hku.hk-
dc.identifier.emailChu, SKW: samchu@hku.hk-
dc.identifier.authorityHu, X=rp01711-
dc.identifier.authorityChu, SKW=rp00897-
dc.description.naturepublished_or_final_version-
dc.identifier.hkuros275076-
dc.identifier.spage517-
dc.identifier.epage524-
dc.publisher.placeDenton, TX-

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