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    Title: 電視記者查證災難新聞之社群媒體依賴研究
    TV Journalists` Social Media Dependency in Disaster News Verification
    Authors: 趙敏雅
    Chao, Min-Ya
    Contributors: 江靜之
    Chiang, Chin Chih
    趙敏雅
    Chao, Min-Ya
    Keywords: 災難新聞
    電視記者
    查證
    證據
    社群媒體
    媒介依賴
    信任信念
    Disaster News
    TV Journalist
    Verification
    Evidence
    Social Media
    Media Dependency
    Trust Beliefs
    Date: 2019
    Issue Date: 2019-09-05 17:42:12 (UTC+8)
    Abstract: 在突發的災難中,社群媒體讓使用者即時提供訊息,填補新聞記者不在現場而缺乏的資訊,確認事發經過與災情。不過,社群媒體的匿名性,及使用者相隔螢幕互動,使部分新聞記者對網路訊息存有疑慮,包含對社群媒體使用者,與其提供訊息的信任感。以媒介依賴理論視角而論,個人缺乏足夠訊息,需透過媒介訊息排疑解惑、完成目標,就會對媒介產生依賴。過去研究亦顯示,媒介依賴與信任具有相關性,故本研究援引此架構,初探新聞記者如何依賴社群媒體查證災難新聞,並關注新聞記者對社群媒體的信賴。

    本研究透過深度訪談法,訪問十位電視記者,了解電視記者報導自然災難,使用社群媒體達到社會理解、行動定向與互動定向等三目標,而在災難發生、救援與恢復重建等三階段,電視記者透過社群媒體取得的證據類型,以及其對社群媒體科技與人際信任信念的感知。本研究有四點主要發現:第一,電視記者使用社群媒體獲取證據,解決災難訊息缺乏之問題。第二,電視記者認為畫面有線索能比對網友所言,並能直接以畫面為證,故在災難三階段均偏好使用社群媒體獲取非供述證據。第三,電視記者對社群媒體使用者的人際信任信念為親身經歷與專業知識,並認為多數人出於善意地提醒,無蓄意欺騙或作假之動機。第四,電視記者對社群媒體的科技信任信念為其查證所需的五大功能,其中僅Facebook均具有,故十位電視記者皆表示對Facebook較為信任,視Facebook為查證災難必備工具。
    Social media allows users to provide real-time information to supplement remote news media reports and confirm the events and severity of damages during emergency disasters. However, the anonymity of social media and how users interact through digital displays causes some reporters to harbor doubts towards information from the internet, including trust towards social media users and their provided information. From the perspective of media dependency, the individual lacks sufficient information and must utilize information from mediums to remove doubt and complete goals, thus producing a reliance on mediums. Past studies show a correlation between medium reliance and trust so this study will introduce this structure in a preliminary exploration of how news reporters rely on social media to investigate disaster news as well as focus on reporter trust in social media.

    This study utilizes in-depth interviews with 10 TV Journalist to understand their use of social media for social understanding, action orientation, and interaction orientation when reporting natural disasters in the phases of occurrence, rescue, and rebuilding; the interviews will determine the types of evidence obtained by TV Journalist through social media as well as their perception of social media technology and interpersonal trust beliefs. This study made 4 primary discoveries: first, TV Journalist relies on social media to obtain evidence as a solution to insufficient disaster information. Second, TV Journalist believe that image evidence can be used to compare against statements made by internet users as well as directly provide images of evidence; thus, there is a preference to use non-testimonial evidence from social media in all 3 phases of a disaster. Third, the interpersonal trust beliefs of TV Journalist towards social media are based on personal experience and professional knowledge. There is the belief that most individuals provide information based on goodwill and do not harbor motivations to misinform or falsify. Fourth, TV Journalist utilize technology trust beliefs as one of the 5 major functions they require for verification; Facebook is the only social media held by all 10 reporters and they all expressed a stronger sense of trust towards Facebook and view it as a required tool for verifying disasters.
    Reference: 內政部消防署(2012)。《消防實用法令(101)》。新北:內政部消防署。
    王舜偉(2002)。《廣播賣藥節目研究-媒介系統依賴理論之觀點》。南華大學傳播管理學系研究所碩士論文。
    王毓莉(2001)。〈「電腦輔助新聞報導」在台灣報社的應用—以中國時報、工商時報記者為研究對象〉,《新聞學研究》,68: 91-115。
    朱應翔、孫珮瑾(2015年1月29日)。〈又LINE了嗎?—新型態通訊軟體的法律問題〉,《今周刊》。取自http://www.businesstoday.com.tw/article/category/154685/post/201501290047/%E5%8F%88LINE%E4%BA%86%E5%97%8E%EF%BC%9F%E2%80%94%E6%96%B0%E5%9E%8B%E6%85%8B%E9%80%9A%E8%A8%8A%E8%BB%9F%E9%AB%94%E7%9A%84%E6%B3%95%E5%BE%8B%E5%95%8F%E9%A1%8C
    吳芝儀、李鳳儒譯(1995)。《質性研究導論》。台北:桂冠。(原書Michael QuinnPatton [1990]. Qualitative Evaluation and Research Methods. London: Sage.)
    吳冠霆(2012)。〈偵查階段供述證據保全的法理探討—以刑訴法第一五八條之二第二項為中心〉,《司法新聲》,101(1): 75-86。
    李政賢、廖志恆、林靜如譯(2007)。《質性研究導論》。台北:五南。(原書Uwe Flick[2002]. An Introduction to Qualitative Research.CA:Stage.)
    李榮耕(2011)。〈傳聞證據之認定--最高法院九十九年台上字第四八號刑事判決〉,《月旦裁判時報》,9: 85-91。
    江靜之(2016年6月)。〈記者求真路:論新聞查證〉,「2016中華傳播學會年會」,嘉義:中正大學。
    卓春英、盧芷儀(2010)。〈貧窮、社會性別與災難〉,《社區發展季刊》,131: 154-168。
    林金定、嚴嘉楓、陳美花(2005)。〈質性研究方法:訪談模式與實施步驟分析〉,《身心障礙研究》,3:122-136
    林昀璇(2016年9月18日)。〈YouTube推專屬社群平台 力抗Facebook〉,《CNEWS匯流新聞網》,取自https://cnews.com.tw/YouTube%E6%8E%A8%
    E5%B0%88%E5%B1%AC%E7%A4%BE%E7%BE%A4%E5%B9%B3%E5%8F%B0-%E5%8A%9B%E6%8A%97facebook/
    林裕順(2007)。〈偵查階段供述證據保全的法理探討—以刑訴法第一五八條之二第二項為中心〉,《月旦法學雜誌》,149: 89-105。
    林照真(2013)。〈台灣電視新聞之災難報導:以「莫拉克」風災為例〉,《新聞學研究》,115: 141-185。
    林照真(2014年6月)。〈社群網站與新聞生產:從聚合觀點檢視全球性媒體如何經營社群網站〉,「2014中華傳播學會年會」,台北:銘傳大學。
    周玲秀(2015)。《宗教電視台之災難新聞呈現—以大愛新聞為例》。政治大學傳播學院在職專班碩士論文。
    周慶祥(2011)。《新聞查證:理論與研究》,新北:風雲論壇。
    胡幼慧(編)(1996)。《質性研究:理論、方法及本土女性主義研究實例》。台北:巨流。
    胡幼慧、姚美華(2008)。〈一些質性方法上的思考〉。胡幼慧(編),《質性研究理論、方法及本土女性研究實例》,頁27-45。台北:巨流。
    范麗娟(2004)。〈深度訪談〉,謝臥龍(編),《質性研究》,頁81-126。台北:心理出版社。
    施伯燁(2014)。〈社群媒體-使用者研究之概念、方法與方法論初探〉,《傳播研究與實踐》,4(2):207-227。
    袁方(2002)。《社會研究方法》。台北:五南。
    陳向明(2002)。《社會科學質的研究》。台北:五南。
    陳百齡、王凌霄(2011)。〈判讀影音檔案:援引考據辨偽方法於新聞畫面查證工作〉,《臺大新聞論壇》,10: 3-53
    陳宜加、陳螢萱(2015年10月18日)。〈爆料照單全收 媒體賠上招牌〉,《中國時到》。取自http://www.chinatimes.com/newspapers/20151018000318-260102
    康庭瑜(2015年11月12日)。〈BBC也會抄網路?老牌媒體的網路報導大冒險〉,《轉角國際》。取自https://global.udn.com/global_vision/story/8664/1310166
    陳啟垂(2018)。《民事訴訟法(下冊)》,台中:新學林。
    莊晨伶(2017年2月15日)。〈2017年Instagram 廣告會怎麼變? 社群專家列3大行銷重點〉,《SmartM》,取自https://www.smartm.com.tw/Contact/About
    陳釧瑤(2008年5月5日)。〈行動UGC服務發展分析 行動網路營運商概觀〉,《CTIMES》。取自https://www.ctimes.com.tw/DispArt/tw/Slide.com/UGC/Wikipedia/Google/Flickr/0805050000P1.shtml
    許福生(2014)。〈論兩岸刑事司法互助調查取證之證據能力〉,《日新司法年刊》,10: 150-164。
    黃芳銘、楊金寶(2004)。〈從被害人理論探討國中女生網路交友性侵害潛在危險之研究〉,《師大學報》,49(1): 21-40。
    黃郁琄(2000)。《記者查證之判斷歷程研究》。輔仁大學大眾傳播研究所碩士論文。
    黃偉誌(2017年8月9日)。〈社群媒體活躍用戶突破 30 億大關!而且沒有成長趨緩的跡象〉,《數位時代》,取自https://www.bnext.com.tw/article/45730/social-media-mobile-phone-global-digital-statshot-internet
    萬文隆(2004)。〈深度訪談在質性研究中的應用〉,《生活科學教育月刊》,3:17-23。
    溫陽(2016)。《105年刑法及刑事訴訟法》。新北:千華數位文化。
    溫陽、關偉(2018)。《108年刑法及刑事訴訟法》。新北:千華數位文化。
    溫雅雯(2016年11月3日)。〈李妍憬與小黃司機互毆 記者會都沒說實話〉,《鏡周刊》,取自https://www.mirrormedia.mg/story/20161101ent017/
    趙永紝(2014年6月1日)。〈33年前舊報紙 兇宅證據〉,《工商時報》取自https://www.chinatimes.com/realtimenews/20140601001208-260402
    趙敏雅(2018年6月)。〈分辨消息的真偽:電視新聞工作者查證網路素材之作為〉,「2018中華傳播學會年會」,新竹玄奘大學。
    劉秋伶(2010)。《數位證據之刑事證據調查程序》。政治大學法律學研究所碩士論文。
    鄭宇融(2014)。《即時新聞與媒體勞動-以蘋果日報為例》。中正大學電訊傳播研究所碩士論文。
    鄭勝得(2018年3月24日)。〈臉書掰掰 Instagram成社群網站新寵〉,《中時電子報》,取自http://www.chinatimes.com/newspapers/20180324001016-260203
    劉蕙苓(2014)。〈匯流下的變貌: 網路素材使用對電視新聞常規的影響〉,《新聞學研究》,121: 41-87。
    劉蕙苓、羅文輝(2017)。〈數位匯流的新工具採納:記者的社群媒體使用與影響評價〉,《新聞學研究》,132: 107-150。
    謝麗紅、巫珮如(2017)。〈團體領導者工作同盟量表編製與相關研究〉,《中華輔導與諮商學報》,49: 17-52。
    鍾蔚文、翁秀琪、紀慧君、簡妙如(1999)。〈新聞事實的邏輯〉,《國家科學委員會研究彙刊:人文及社會科學》,9(4): 575-589
    蕭伊貽(2011)。《電視新聞工作者取用第三方影音素材之研究》。政治大學新聞
    研究所碩士論文。
    羅雁紅、鍾宜珈(2016)。〈「救急」的媒介溝通效果:以災難新聞為例〉,《傳播與社會學刊》,38: 37-82。
    蘇健華(2007)。〈WEB 2.0 發展介紹〉,《資訊社會研究》,13: 1-124。
    Amran, H., Liew, T. S., Abdul, W. M. K., & Rini, S. S. (2015). Smartphone Dependency and Its Impact on Purchase Behavior. Canadian Center of Science and Education, 11, 196-211.
    Ball-Rokeach, S. J. (1985). The Origins Of Individual Media-System Dependency. Communication Research, 12(4), 485-510.
    Ball-Rokeach, S., & Defleur, M. (1976). A Dependency Model of Mass-Media Effects. Communication Research, 3(1), 3-21.
    Ball-Rokeach, S. J., Rokeach, M., & Grube, J. W. (1984). The Great American Values Test: Influencing Behavior and Belief Through Television. New York, NY: The Free Press.
    Ball-Rokeach, S. J., Power, G. J., Guthrie, K. K., & Waring, H. R. (1990). Value-Framing Abortion In The United States: An Application Of Media System Dependency Theory. International Journal of Public Opinion Research, 2(3), 249-273.
    Belair-Gagnon, V., Agur, C., & Frisch, N. (2017). Mobile sourcing: A case study of journalistic norms and usage of chat apps. Mobile Media & Communication, 6(1), 53-70.
    Brandtzaeg, P. B., Lüders, M., Spangenberg, J., Rath-Wiggins, L., & Følstad, A. (2016). Emerging Journalistic Verification Practices Concerning Social Media. Journalism Practice,10(3), 323-342.
    Broersma, M., & Graham, T. (2012). Social Media As Beat. Journalism Practice, 6(3), 403-419.
    Bruno, N. (2011) Tweet First, verify Later ? How real-time information is changing the coverage of worldwide crisis events. Retrieved from http://reutersinstitute.politics.ox.ac.uk/publication/tweet-first-verify-later Google Scholar.
    Bruns, A. (2013) Social media and journalism during times of crisis. In J. Hunsinger, & T. M. Senft (Eds.) The Social Media Handbook (pp. 159-176). New York: Routledge.
    Carr, C. T., & Hayes, R. A. (2015). Social media: Defining, developing, and divining. Atlantic Journal of Communication, 23(1).
    Chari, S., Christodoulides, G., Presi, C., Wenhold, J., & Casaletto, J. P. (2016). Consumer Trust in User‐Generated Brand Recommendations on Facebook. Psychology & Marketing, 33(12): 1071–1081
    DeFleur, M.L., Ball-Rokeach, S. (1989). Theories of Mass Communication. (5thed.). NY: Longman.
    Diekerhof, E., & Bakker, P. (2012). To check or not to check: An exploratory study on source checking by Dutch journalists. Journal of Applied Journalism & Media Studies, 1(2), 241-253.
    Ellison, N. B. , & boyd, D. M. (2013). Sociality through social network sites. In Dutton, W. H. (Ed.), The Oxford handbook of Internet studies (pp. 151–172). Oxford, England: Oxford University Press.
    Godler, Y., & Reich, Z. (2015). Journalistic evidence: Cross-verification as a constituent of mediated knowledge. Journalism: Theory, Practice & Criticism, 18(5), 558-574.
    Grabner-Kräuter, S., & Bitter, S. (2013). Trust in online social networks: A multifaceted perspective. Forum for Social Economics, 44(1), 48-68.
    Grant, A. E., Guthrie, K. K., & Ball-Rokeach, S. J. (1991). Television Shopping. Communication Research, 18(6), 773-798.
    Gulyas, A. (2016). Hybridity and Social Media Adoption by Journalists. Digital Journalism, 5(7), 884-902.
    Hermida, A. (2010). Twittering The News. Journalism Practice, 4(3), 297-308.
    Hermida, A. (2012). Tweets And Truth. Journalism Practice, 6(5-6), 659-668.
    Hirschburg, P.L., Dillman D.A., & Ball-Rokeach S.J. (1986) Media System Dependency Theory: Responses to Mt. St. Helens, in S.J. Ball-Rokeach, & M.G. Cantor (eds) Media, Audience, and Social Structure (pp. 117-26). Beverly Hills, CA:Sage.
    Hogan, B., & Quan-Haase, A. (2010). Persistence and change in social media: A framework of social practice. Bulletin of Science, Technology and Society, 30(5), 309-315.
    How does Verification work? (n.d.). Retrieved from Stony Brook University, Center for News Literacy Web site: http://drc.centerfornewsliteracy.org/content/how-does-verification-work-0
    Ingram, M. (2014). Putting the Human Crowd to Work. In C.Silverman, (Ed.), Verification handbook: A definitive guide to verifying digital content for emergency coverage (pp. 70-75). Maastricht, Netherlands: European Journalism Centre.
    Jakob, N.G. (2010). No alternatives? The relationship between perceived media dependency, use of alternative information sources, and general trust in mass media. International Journal of Communication, 4, 589-606.
    Jung, J. (2017). Media Dependency Theory. In Rössler, P. (Ed.), The International Encyclopedia of Media Effects (pp.1-10). Chichester, West Sussex: Wiley Blackwell.
    Kiss, J. (2011, September 4). Andy Carvin: The Man Who Tweets Revolutions. The Guardian. Retrieved from https://www.theguardian.com/media/2011/sep/04/
    andy-carvin-tweets-revolutions
    Lankton, N. K., & McKnight, D. H. (2008, August). Do People Trust Facebook as a Technology or as a "Person"? Distinguishing Technology Trust from Interpersonal Trust. Paper presented at the Fourteenth Americas Conference on Information Systems, Toronto, Canada.
    Larson, C. P. (1980). Efficacy of prenatal and postpartum home visits on child health and development. Pediatrics, 66, 191-197.
    Little, M. (2012). Finding the wisdom in the crowd: Storyful helps news organizations verify social media. Nieman Reports, 66 (2) ,14-17.
    Mafé, C. R., & Blas, S. S. (2006). Explaining Internet dependency. Internet Research, 16(4), 380-397.
    Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An Integrative Model of Organizational Trust. Academy of Management Review, 20(3), 709-734.
    McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management Review, 23(3), 473-490.
    McKnight, D. H. (2005). Trust in Information Technology. In G. B. Davis (Ed.), The Blackwell Encyclopedia of Management, Vol. 7 Management Information Systems (pp. 329-331). Malden, MA: Blackwell.
    Muir, B. M., & Moray, N. (1996) Trust in automation. Part II. Experimental studies of trust and human intervention in a process control simulation. Ergonomics, 39(3), 429-460.
    Newman, N. (2009). The rise of social media and its impact on mainstream journalism: A study of how newspapers and broadcasters in the UK and US are responding to a wave of participatory social media, and a historic shift in control towards individual consumers. Oxford: University of Oxford, Reuters Institute for the Study of Journalism.
    Obar, J. A., & Wildman, S. S. (2015). Social Media Definition and the Governance Challenge:An Introduction to the Special Issue. Telecommunications Policy, 39(9), 745-750.
    Oberlechner, T., & Hocking, S. (2004). Information sources, news, and rumors in financial markets: Insights into the foreign exchange market. Journal of Economic Psychology, 25(3), 407-424.
    O’Reilly, T. (2005). What is Web 2.0: Design patterns and business models for the next generation of software. O’Reilly. Retrieved from http://oreilly.com/web2/archive/ what-is-web-20.html.
    Patwardhan, P., & Yang, J. (2003). Internet Dependency Relations and Online Consumer Behavior. Journal of Interactive Advertising, 3(2), 57-69.
    Rauchfleisch, A., Artho, X., Metag, J., Post, S., & Schäfer, M. S. (2017). How journalists verify user-generated content during terrorist crises. Analyzing Twitter communication during the Brussels attacks. Social Media+ Society, 3(3), 1-13.
    Schifferes, S., Newman, N., Thurman, N., Corney, D., Göker, A., & Martin, C. (2014). Identifying and Verifying News through Social Media. Digital Journalism, 2(3), 406-418.
    Shapiro, I., Brin, C., Bédard-Brŭlé, I., Mychajlowycz, K. (2013). Verification as a strategic ritual: How journalists retrospectively describe processes for ensuring accuracy. Journalism Practice, 7(6), 657-673.
    Singer, E., & Endreny, P. M. (1994). Reporting on risk: How the mass media portray accidents, diseases, disasters, and other hazards. Choice Reviews Online, 31(5), 261-270.
    Skumanich, S. A., & Kintsfather, D. P. (1998). Individual Media Dependency Relations Within Television Shopping Programming. Communication Research, 25(2), 200-219.
    Steve Buttry. (2010). Tips on verifying facts and ensuring accuracy. Retrieved from https://stevebuttry.wordpress.com/2010/10/28/tips-on-verifying-facts-and-ensuring-accuracy/
    Tai, Z., & Sun, T. (2007) Media dependencies in a changing media environment: the case of the 2003 SARS epidemic in China. New Media & Society, 9(6): 987-1009.
    Thurman, N. (2018). Social Media, Surveillance, and News Work. Digital Journalism, 6(1), 76-97.
    van Dijck, J. (2013). The culture of connectivity: A critical history of social media. New York: Oxford University Press.
    Wardle, C. (2014). Verifying User-Generated Content. In C.Silverman, (Ed.), Verification handbook: A definitive guide to verifying digital content for emergency coverage (pp. 25-31). Maastricht, Netherlands: European Journalism Centre.
    We Are Social. (2010). Digital in 2018 in Eastern Asia. Retrieved fromhttps://www.slideshare.net/wearesocial/digital-in-2018-in-eastern-asia-86866557
    Willnat, L., & Weaver, D. H. (2014).The American journalist in a digital age: Key findings. Bloomington, IN: School of Journalism, Indiana University.
    Wintterlin, F. (2017). Trust in distant sources: An analytical model capturing antecedents of risk and trustworthiness as perceived by journalists. Journalism: Theory, Practice & Criticism, 146488491771600.
    Description: 碩士
    國立政治大學
    傳播學院傳播碩士學位學程
    106464005
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G1064640051
    Data Type: thesis
    DOI: 10.6814/NCCU201901004
    Appears in Collections:[傳播學院傳播碩士學位學程] 學位論文

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