Localness of Location-based Knowledge Sharing: A Study of Naver KiN "Here"

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dc.contributor.authorPark, Sangkeunko
dc.contributor.authorAckerman, Mark S.ko
dc.contributor.authorLee, Uichinko
dc.date.accessioned2018-08-20T07:48:42Z-
dc.date.available2018-08-20T07:48:42Z-
dc.date.created2018-08-06-
dc.date.created2018-08-06-
dc.date.created2018-08-06-
dc.date.created2018-08-06-
dc.date.created2018-08-06-
dc.date.issued2018-07-
dc.identifier.citationACM TRANSACTIONS ON THE WEB, v.12, no.3-
dc.identifier.issn1559-1131-
dc.identifier.urihttp://hdl.handle.net/10203/244847-
dc.description.abstractIn location-based social Q&A services, people ask a question with a high expectation that local residents who have local knowledge will answer the question. However, little is known about the locality of user activities in location-based social Q&A services. This study aims to deepen our understanding of location-based knowledge sharing by investigating the following: general behavioral characteristics of users, the topical and typological patterns related to geographic characteristics, geographic locality of user activities, and motivations of local knowledge sharing. To this end, we analyzed a 12-month period Q&A dataset from Naver KiN "Here," a location-based social Q&A mobile app, in addition to a supplementary survey dataset obtained from 285 mobile users. Our results reveal several unique characteristics of location-based social Q&A. When compared with conventional social Q&A sites, users ask and answer different topical/typological questions. In addition, those who answer have a strong spatial locality wherein they primarily have local knowledge in a few regions, in areas such as their home and work. We also find unique motivators such as ownership of local knowledge and a sense of local community. The findings reported in the article have significant implications for the design of Q&A systems, especially location-based social Q&A systems.-
dc.languageEnglish-
dc.publisherASSOC COMPUTING MACHINERY-
dc.titleLocalness of Location-based Knowledge Sharing: A Study of Naver KiN "Here"-
dc.typeArticle-
dc.identifier.wosid000439627500002-
dc.identifier.scopusid2-s2.0-85064539279-
dc.type.rimsART-
dc.citation.volume12-
dc.citation.issue3-
dc.citation.publicationnameACM TRANSACTIONS ON THE WEB-
dc.identifier.doi10.1145/2983645-
dc.contributor.localauthorLee, Uichin-
dc.contributor.nonIdAuthorAckerman, Mark S.-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorKnowledge sharing-
dc.subject.keywordAuthormobile applications-
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