政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/136840

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政大典藏 > College of Commerce > Department of MIS > Theses > 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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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:	[Department of MIS] Theses

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