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題名:	Analysis of social media data: An introduction to characteristics and chronological process
作者:	鄭宇君 Chen, Pai-Lin;Cheng, Yu-Chung;Chen, Kung 陳百齡
貢獻者:	新聞系
關鍵詞:	Social media;Digital footprints;Social big data;Data analytics;Computational thinking
日期:	2018-11
上傳時間:	2019-02-15 14:12:23 (UTC+8)
摘要:	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.
關聯:	Big Data in Computational Social Science and Humanities, Springer Nature Switzerland AG, pp.297-321 Chapter 16
資料類型:	book/chapter
DOI 連結:	http://dx.doi.org/10.1007/978-3-319-95465-3_16
DOI:	10.1007/978-3-319-95465-3_16
顯示於類別:	[新聞學系] 期刊論文

文件中的檔案:

檔案	描述	大小	格式	瀏覽次數
10.1007_978-3-319-95465-3_16.pdf		700Kb	Adobe PDF2	432	檢視/開啟

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