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    Title: 社交媒體重大事件之傳播模式比較分析:鉅量資料數位人文分析取徑
    Authors: 陳百齡
    Contributors: 新聞學系
    Keywords: 社群媒體;資料分析;研究方法;鉅量資料;跨領域研究
    social media;analytics;social big data;digital methods;inter-disciplinary research
    Date: 2013
    Issue Date: 2017-12-05 16:36:21 (UTC+8)
    Abstract: 社群媒體資料分析是藉由社群媒體所產生的鉅量資料進行觀測和分析,藉以瞭解社會科學所關注的問題。這個研究取徑,需要和資料科學以及其它學門進行跨領域團隊合作,相關論述仍然在起步階段,有待相關學門研究者投入更多關注。本研究試從傳播學者的角度,描述社群媒體資料分析特性、元素和歷程,透過個案分析,呈現研究人員處理社群媒體資料的歷程,以及如何針對提問,處理社群資料。
    Social media analytics (SMA) refers to the methods aiming to collecting, cleaning and analyzing data from social media platform, in order to conducting social listening. This approach of research requires inter-disciplinary team work, particular data science, statistics and other fields. Although communication scholars foresee its potential in future studies, very few articles discuss the elements and process of this research trend. This article aims to present a case study, describing the elements and the process of social media analytics, and its implications in future communication studies.
    Relation: 執行起迄:2013/08/01~2016/12/31
    102-2420-H-004-048-MY3
    Data Type: report
    Appears in Collections:[Department of Journalism] NSC Projects

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