Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/122371
DC FieldValueLanguage
dc.contributor新聞系
dc.creator鄭宇君
dc.creatorChen, Pai-Lin;Cheng, Yu-Chung;Chen, Kung
dc.creator陳百齡
dc.date2018-11
dc.date.accessioned2019-02-15T06:12:23Z-
dc.date.available2019-02-15T06:12:23Z-
dc.date.issued2019-02-15T06:12:23Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/122371-
dc.description.abstractA means toward understanding the problems facing today’s social scientists is through the analysis of social media data. This analysis is approached by forecasting and analyzing phenomena within social media generated big data. The approach demands interdisciplinary teamwork between the data sciences and other disciplines. The aforementioned is still an emerging discourse, thereby demanding the ongoing devotion of researchers in allied disciplines. This chapter seeks to describe the characteristics, elements, and the chronological process of analyzing social media data from a mass communication scholar’s perspective. It aims to present the chronological process in which a researcher deals with social media data in the form of case studies, and how that researcher deals with the social data regarding the study’s posed question.
dc.format.extent717502 bytes-
dc.format.mimetypeapplication/pdf-
dc.relationBig Data in Computational Social Science and Humanities, Springer Nature Switzerland AG, pp.297-321 Chapter 16
dc.subjectSocial media ;Digital footprints ;Social big data ;Data analytics ;Computational thinking
dc.titleAnalysis of social media data: An introduction to characteristics and chronological process
dc.typebook/chapter
dc.identifier.doi10.1007/978-3-319-95465-3_16
dc.doi.urihttp://dx.doi.org/10.1007/978-3-319-95465-3_16
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextrestricted-
item.openairetypebook/chapter-
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