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政大典藏 > College of Communication > Department of Journalism > Periodical Articles > Item 140.119/122371

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/122371

Title:	Analysis of social media data: An introduction to characteristics and chronological process
Authors:	鄭宇君 Chen, Pai-Lin;Cheng, Yu-Chung;Chen, Kung 陳百齡
Contributors:	新聞系
Keywords:	Social media;Digital footprints;Social big data;Data analytics;Computational thinking
Date:	2018-11
Issue Date:	2019-02-15 14:12:23 (UTC+8)
Abstract:	A 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.
Relation:	Big Data in Computational Social Science and Humanities, Springer Nature Switzerland AG, pp.297-321 Chapter 16
Data Type:	book/chapter
DOI link:	http://dx.doi.org/10.1007/978-3-319-95465-3_16
DOI:	10.1007/978-3-319-95465-3_16
Appears in Collections:	[Department of Journalism] Periodical Articles

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File	Description	Size	Format
10.1007_978-3-319-95465-3_16.pdf		700Kb	Adobe PDF2	432	View/Open

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