English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 113656/144643 (79%)
Visitors : 51732510      Online Users : 627
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/133994


    Title: 新冠肺炎相關網路謠言框架分析之研究
    A Study of Frames of COVID-19 Internet Rumors
    Authors: 劉玟妤
    Liu, Wen-Yu
    Contributors: 陳憶寧
    劉玟妤
    Liu, Wen-Yu
    Keywords: 新冠肺炎
    網路謠言
    框架分析
    內容分析
    COVID-19
    Internet rumor
    Framing analysis
    Content analysis
    Date: 2021
    Issue Date: 2021-02-01 14:33:41 (UTC+8)
    Abstract: 2020 年新冠肺炎蔓延全球,在各國忙於防疫的時刻,謠言與不實訊息卻趁 虛而入且不斷地擴散。而台灣一樣也深受其害,這樣的情況可以從台灣事實查 核中心所查核的謠言數量看出,台灣事實查核中心從 2020 年 1 月至 7 月共發布 了 157 篇查核報告。此外,許多過去的研究指出,任何新聞產製者及訊息來 源,可能帶有原先的預設框架產製訊息,並影響訊息再現的樣貌。而謠言的形 成可能與框架有類似的過程,因此本研究即是從框架角度切入,進一步分析新 冠肺炎網路謠言的主題框架。另外,為更加深入了解新冠肺炎網路謠言,本研 究亦探究新冠肺炎網路謠言的內容特徵與呈現方式,並探討不同主題框架間在 內容特徵與呈現方式之間的差異。本研究以內容分析法進行分析。研究結果顯 示,新冠肺炎網路謠言以八個主題框架再現,以防疫作為、疫情失控與病毒來 源三個主題框架的數量最多。內容特徵則是多描述特定國家,沒有明確的發生 時間與地點;最常利用照片/影片作為佐證證據;類型則是以重組訊息較多; 主要的謠言主張則是以分享新知為主,且多數謠言皆來自社群媒體/通訊軟 體。呈現方式部分,則是以 1 字~999 字、第三人稱敘述及描述型為主。而不 同主題框架的內容特徵,彼此之間有所差異,不過在呈現方式上差別就不大。
    COVID-19 has become a pandemic in 2020. However, rumors and misinformation have spread continuously when every countries are busy with epidemic prevention. Taiwan has the same situation. It can be observed from the number of rumors checked by Taiwan FactCheck Center(TFC) . Moreover, lots of past studies pointed out that journalists and sources might product information through default frames. The formation of rumors might have similar process to the frames, so this study discoursed the issues frames of COVID-19 internet rumors. This study also discussed the characteristics of contents and formats of COVID-19 internet rumors, and difference by issues frames. This study used content analysis to investigate COVID-19 internet rumors. The results of the study indicated that the most issues frames are epidemic prevention, epidemic out of control, and virus sources. COVID-19 internet rumors commonly described the influence of “particular country”; also most of the COVID-19 internet rumors don’t mention when or where the events happened. COVID-19 internet rumors provide “photos or videos” as evidence and proof. Most of COVID-19 internet rumors involve various forms of reconfiguration. Furthermore, most of COVID-19 internet rumors sources try to share new knowledges with audience. Almost all of COVID-19 internet rumors come from social media. Most of COVID-19 internet rumors would describe the events in third person narrative. There are differences in characteristics of contents between issues frames, but in characteristics of formats there is not much different.
    Reference: 參考文獻

    一、中文部分
    王石番(1991)。《傳播內容分析法——理論與實證》。台北:幼獅文化。
    杜兆倫(2018)。〈謠言分藍綠?政治傾向與社群媒體謠言傳播之關聯性研究〉。國立臺灣大學新聞研究所碩士學位論文。
    汪志堅、駱少康(2002)。〈以內容分析法探討網路謠言之研究〉,《資訊、科技與社會學報》,20:131-148。
    邱柏勝(2014)。〈食品安全風險議題的媒體再現與框架分析:以瘦肉精美牛爭議新聞
    報導為例〉。國立臺灣大學新聞研究所碩士學位論文。
    林常富(2010)。〈電視新聞框架研究——以電視新聞報導集會遊行事件為例〉。國立政治大學新聞學系研究所碩士學位論文。
    林照真(2020)。〈假新聞類型與媒體聚合:以 2018 年臺灣選舉為例〉,《新聞學研究》,142:111-153。
    姜采蘋(2010)。〈新聞報導和公關稿之主題框架及風險訊息差異:以腸病毒為例〉。國立政治大學新聞研究所碩士學位論文。
    胡元輝(2018)。〈造假有力、更正無力?第三方是事實查核機制初探〉,《傳播研究與實踐》,2:47-73。
    徐美苓(2015)。〈影響新聞可信度與新聞素養效能因素之探討〉,《中華傳播學刊》,27:99-136。
    財團法人台灣網路資訊中心(2019)。《2019 年台灣網路報告》。台北市:創市紀市場研究顧問。
    夏倩芳、張明新(2007)。〈社會衝突性議題之黨政形象建構分析——以人民日報之「三農」常規報導為例〉,《新聞學研究》,91:85-124。
    陶聖屏、張瑋礽(2008)。〈消費型網路謠言傳播行為研究:以大學生為例〉,《復興崗 學報》,91:201-234。
    陳燕玲、陶聖屏(2015)。〈新聞事件之網路模因研究:探討洪仲丘案所引起的網路謠 言傳播〉,《復興崗學報》,106:43-68。
    許文怡、梁朝雲(2007)。〈訊息來源可信度、情感認同與涉入程度對大學生採信消費 性網路謠言之影響〉,《教育資料與圖書館學》,45(1):99-120。
    黃惠萍(2003)。〈媒介框架之預設判準效應與閱聽人的政策評估——以核四案為例〉, 《新聞學研究》,77:67-105。
    傅文成、陶聖屏(2018)。〈以大數據觀點探索網路謠言的「網路模因」傳播 模式〉,《中華傳播學刊》,33:99-135。
    楊孝濚(1991)。《傳播研究方法總論》。台北:三民。
    臧國仁(1999)。《新聞媒體與消息來源——媒介框架與真實建構之論述》。台北:三民書局。
    鄭若麟、邊芹譯(1992)。《謊言》。台北:桂冠圖書。(原書:Kapferer, J. N.[1990]. Rumeurs.)。
    劉蕙苓(2018)。〈解析文化創意產業的媒體神話 Van Gorp 框架化分析取徑〉。2018年中華傳播年會論文。
    繆傳杰(2015)。〈新聞媒體報導流感之框架研究——以 H7N9 為例〉。中國文化大學新聞研究所碩士學位論文。
    謝君蔚、徐美苓(2011)。〈媒體再現科技發展與風險的框架與演變:以基因改造食品新聞為例〉,《中華傳播學刊》,20:143-179。
    羅文伶、邱銘心(2015)。〈網路健康謠言內容分析研究〉,《教育資料與圖書館學》,55(1):3-31。
    羅世宏(2018)。〈關於「假新聞」批判思考:老問題、新挑戰與可能的多重解 方〉,《資訊社會研究》,35:51-85。
    蘇蘅(2019)。《傳播研究方法新論》。台北:雙葉書廊有限公司。

    二、英文部分
    Allport, G. W., & Postman, L. (1946). An analysis of rumor. Public Opinion Quarterly,10(4), 501-517.
    Allport, G. W., & Postman, L. (1947). The psychology of rumor.
    Brennen, J. S., Simon, F. M., Howard, P. N., & Nielsen, R. K. (2020). Types, sources, and claims of COVID-19 misinformation. Reuters Institute.
    Cooper, W. H., Gallupe, R. B., Pollard, S., & Cadsby, J. (1998). Some liberating effects of anonymous electronic brainstorming. Small Group Research, 29(2), 147-178.
    Egelhofer, J. L., & Lecheler, S. (2019). Fake news as a two-dimensional phenomenon: a framework and research agenda. Annals of the International Communication Association, 43(2), 97-116.
    Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm.
    Fisher, D. R. (1998). Rumoring theory and the Internet: A framework for analyzing the grass roots. Social Science Computer Review, 16(2), 158-168.
    Friggeri, A., Adamic, L., Eckles, D., & Cheng, J. (2014). Rumor cascades. Paper presented at the Eighth International AAAI Conference on Weblogs and Social Media.
    Gamson, W. A. (1992). Talking Politics: Cambridge university press.
    Gamson, W. A., Croteau, D., Hoynes, W., & Sasson, T. (1992). Media images and the social construction of reality. Annual Review of Sociology, 18(1), 373-393.
    Gitlin, T. (2003). The whole world is watching: Mass Media in the Making and Unmaking of the New Left: Univ of California Press.
    Jin, Z., Cao, J., Guo, H., Zhang, Y., Wang, Y., & Luo, J. (2017). Detection and Analysis of 2016 us Presidential Election Related Rumors on Twitter. Paper presented at the International conference on social computing, behavioral-cultural modeling and prediction and behavior representation in modeling and simulation.
    Knapp, R. H. (1944). A psychology of rumor. Public Opinion Quarterly, 8(1), 22-37.
    Krippendorff, K. (2004). Reliability in content analysis: Some common misconceptions and recommendations. Human Communication Research, 30(3), 411-433.
    Krippendorff, K. (2018). Content analysis: An Introduction to its Methodology: Sage publications.
    Ma, R. (2008). Spread of SARS and war-related rumors through new media in China. Communication Quarterly, 56(4), 376-391.
    Page, R. E. (2013). Stories and social media: Identities and Interaction: Routledge.
    Peterson, W. A., & Gist, N. P. (1951). Rumor and public opinion. American Journal of Sociology, 57(2), 159-167.
    Pissarra, J., & Jesuino, J. C. (2005). Idea generation through computer-mediated communication: The effects of anonymity. Journal of Managerial Psychology, 20(3-4), 275-291.
    Rosnow, R. L. (1974). Communications as cultural science. Journal of Communication, 24(3), 26-38.
    Rosnow, R. L. (1991). Inside rumor: A personal journey. American Psychologist, 46(5), 484.
    Rosnow, R. L. (2001). Rumor and gossip in interpersonal interaction and beyond: A social exchange perspective.
    Sproull, L., & Kiesler, S. (1986). Reducing social context cues: Electronic mail in organizational communication. Management Science, 32(11), 1492-1512.
    Tandoc Jr, E. C., Lim, Z. W., & Ling, R. J. D. J. (2018). Defining “fake news” A typology of scholarly definitions. 6(2), 137-153.
    Van Gorp, B. (2010). Strategies to take subjectivity out of framing analysis. Doing news framing analysis: Empirical and Theoretical Perspectives, 84-109.
    Walizer, M. H. (1978). Research Methods and Analysis; Searching fro Relationships. Retrieved from
    West, M. D. (1994). Validating a scale for the measurement of credibility: A covariance structure modeling approach. Journalism Quarterly, 71(1), 159-168.
    White, C. M. (2011). Social Media, Crisis Communication, and Emergency Management: Leveraging Web 2.0 Technologies: CRC press.

    三、網路資訊
    EAVI – Media Literacy for Citizenship(2020, April 20). The Importance of Media Literacy during Covid-19. Retrieved from: https://eavi.eu/the-importance-of-media-literacy- during-covid-19/
    EUvsDisinfo(2020, April 15). CORONAVIRUS: RUSSIAN JOURNALIST VS. CONSPIRACIES. Retrieved from: https://euvsdisinfo.eu/coronavirus-russian- journalists-vs-conspiracies/?highlight=coronavirus
    Kelly Makena(2020, April 15). A pro-Iranian operation has spread coronavirus。 disinformation across Facebook and Twitter. The Verge. Retrieved from: https://www.theverge.com/2020/4/15/21222133/iran-disinformation-campaign-iuvm- facebook-twitter-graphika-china
    BBC NEWS 中文網(2020年5月12日)。〈肺炎疫情:政治紛爭下,全球科學家如何 看武漢起源〉取自 https://www.bbc.com/zhongwen/trad/science-52613218
    中央社外電(2020年4月26日)。〈各國要求調查病毒 中國外交官:充滿政治動 機〉。取自 https://www.cna.com.tw/news/aopl/202004260125.aspx
    吳家豪(2020年3月14日)。〈中國網軍散播武漢肺炎假消息 臉書下架逾60個帳 號〉,《中央社》。取自https://www.cna.com.tw/news/firstnews/202003130322.aspx
    簡恒宇(2020年3月31日)。〈新冠肺炎疫情給「不實訊息」絕佳機會!中國、俄羅斯散布陰謀論,對美國發動資訊戰〉,《風傳媒》。取自
    https://www.storm.mg/article/2465172
    簡恒宇(2020年4月19日)。〈中國、俄羅斯與伊朗發動不實訊息攻擊 北約秘書長:不實資訊讓疫情更加嚴重〉,《風傳媒》。取自
    https://www.storm.mg/article/2538293
    Description: 碩士
    國立政治大學
    傳播學院傳播碩士學位學程
    107464019
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0107464019
    Data Type: thesis
    DOI: 10.6814/NCCU202100158
    Appears in Collections:[傳播學院傳播碩士學位學程] 學位論文

    Files in This Item:

    File Description SizeFormat
    401901.pdf5614KbAdobe PDF21449View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告 Copyright Announcement
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback