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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/127157

    Title: Analysis of Social Media Data: An Introduction to the Characteristics and Chronological Process. In: Chen SH. (eds) Big Data in Computational Social Science and Humanities.
    Authors: 陳百齡
    Chen, Pai-Lin*
    Cheng, Yu-Chung
    Chen, Kung
    Contributors: 新聞系
    Keywords: Social media ;Digital footprints; Social big data; Data analytics ;Computational thinking 
    Date: 2018-12
    Issue Date: 2019-10-30 10:26:05 (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, Cham, pp.297-321
    Data Type: book
    DOI 連結: https://doi.org/10.1007/978-3-319-95465-3_16
    DOI: 10.1007/978-3-319-95465-3_16
    Appears in Collections:[新聞學系] 專書/專書篇章

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