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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/136840
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/136840


    Title: 假新聞研究趨勢及書目計量學分析
    Fake News: Research Trends and A Bibliometric Analysis
    Authors: 郭庭瑋
    Kuo, Ting-Wei
    Contributors: 梁定澎
    彭志宏

    Liang, Ting-Peng
    Peng, Chih-Hung

    郭庭瑋
    Kuo, Ting-Wei
    Keywords: 假新聞
    書目計量學
    系統性分析
    趨勢
    學門
    Fake News
    Bibliometric Analysis
    System Analysis
    Trends
    Discipline
    Date: 2021
    Issue Date: 2021-09-02 15:48:47 (UTC+8)
    Abstract: 假新聞(fake news)一詞在2016年美國總統大選後被大家廣為使用,人們自從劍橋分析事件(Cambridge Analytica)之後開始逐漸重視假新聞所帶來的危害,2019年底遭逢COVID-19開始在全球肆虐,關於此疾病的假新聞大量的出現在各個媒體上,也使得假新聞進入了另一個高峰期。
    假新聞的研究主題有很多,目前僅有部分學者針對特定的主題做小範圍的分析,尚未有學者針對所有類型的文獻一個較有統整性的整理,因此本研究透過蒐集在Web of Science上蒐集假新聞的相關文獻,並透過書目計量學分析(Bibliometric Analysis),去探討這些文獻,本研究以書目計量的輔助軟體(VOSviewer)完成相關的分析,透過作者給予文獻的關鍵字去了解目前的研究趨勢,並且將這些結果可視化,本研究也將蒐集而來的文獻進行學門的分群,對於不同學門的文獻內容做了進一步的分析,在最後也提出了了解假新聞研究領域閱讀文獻的推薦順序,供後續的研究人員作參考。
    The phrase “fake news” has become popular in the wake of the United States presidential election of 2016. People became concerned about the dangers that could be caused by fake news ever since the Cambridge Analytica scandal. During the COVID-19 outbreak at the end of 2019, fake news about the disease rapidly spread across various media outlets, leading to a new peak in fake news.
    There are many studies on fake news. In the current studies, researchers have only analyzed certain topics on a small scale, so this study set out to analyze all types of sources. This study collected studies about fake news from a website called Web of Science (WOS), and this study used bibliometric analysis to analyze the research. This study used a software called VOSviewer to help us complete the bibliometric analysis, recognize the research trends via author keywords, and visualize the results. This study also sorted the studies by research areas and analyzed them. Lastly, this study proposed a reading sequence for the studies for future researchers.
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    Ardito, L., Scuotto, V., Del Giudice, M., & Petruzzelli, A. M. (2019). A bibliometric analysis of research on Big Data analytics for business and management. Management Decision, 57(8), 1993-2009.
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    Howard, P. N., & Kollanyi, B. (2016). Bots, #StrongerIn, and #Brexit: ComputationalPropaganda during the UK-EU Referendum. arXiv:1606.06356 [Physics].Retrieved from http://arxiv.org/abs/1606.06356
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    Kiernan, L. (2017). “‘Frondeurs’ and fake news: how misinformation ruled in 17th-century France.” The Local, August 15. https://www.thelocal.fr/20170815/frondeurs-and-fakenews-how-misinformation-ruled-in-17th-century-france.
    Ripoll, L., & Matos, J. (2020). Information reliability: criteria to identify misinformation in the digital environment. Investigación Bibliotecológica: archivonomía, bibliotecología e información, 34, 79.
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    Tandoc, E. C., Lim, Z. W., & Ling, R. (2018). DEFINING "FAKE NEWS" A typology of scholarly definitions [Article]. Digital Journalism, 6(2), 137-153. https://doi.org/10.1080/21670811.2017.1360143
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    Wang, M., Rao, M. K., & Sun, Z. P. Typology, Etiology, and Fact-Checking: A Pathological Study of Top Fake News in China [Article; Early Access]. Journalism Practice, 19. https://doi.org/10.1080/17512786.2020.1806723
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    Description: 碩士
    國立政治大學
    資訊管理學系
    108356001
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0108356001
    Data Type: thesis
    DOI: 10.6814/NCCU202101434
    Appears in Collections:[資訊管理學系] 學位論文

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