题名

信念回聲︰假新聞與事實查核新聞對於品牌情感認同之影響

并列篇名

Belief Echoes: The Impact of Fake News and Fact-checking News on Affection of Brand

作者

林東清(Tung-Chin Lin);傅昶曄(Chang-Yeh Fu);張玲星(Christina Ling-hsing Chang)

关键词

假新聞 ; 事實查核 ; 謠言再傳模式 ; 推敲可能性模式 ; 品牌情感認同 ; Fake news ; Fact-checking ; Rumor retransmission model ; Elaboration likelihood model ; Brand affection

期刊名称

資訊管理學報

卷期/出版年月

30卷2期(2023 / 04 / 30)

页次

137 - 166

内容语文

繁體中文;英文

中文摘要

由於資訊科技的發展,社群網路的無遠弗屆,導致假新聞的傳播管道越趨多重且快速,使得更多的民眾很容易受到假新聞的傳播而受到影響;不過,近來也因為事實查核中心的成立,當民眾自網路收到不合常理的新聞、訊息、影片時,就會自動自發的先行透過事實查核中心檢核這些假新聞、訊息、影片,並刪除之;所以就降低很多新聞、訊息、影片的傳播機會。因為有關商業品牌相關產品的假新聞對企業本身商譽、營收會有很大的負面影響;因此,本研究以新聞媒體報導商業品牌相關的假新聞為研究對象,結合謠言再傳模式、推敲可能性模式、信念回聲,探討假新聞對新聞閱聽者信念回聲的影響。本研究以問卷調查、線上實驗二種研究方法,蒐集210份有效問卷,研究結果發現人們會因為新聞閱聽者的個人涉入、高度的來源可信度、高度的新聞論點品質,強化其相信假新聞的程度;但新聞閱聽者的品牌情感認同與刊載假新聞網站之吸引力均不會對網路假新聞可信度有顯著影響。此外,雖然事實查核可對高度品牌情感認同的新聞閱聽者降低其對假新聞的相信程度,而有信念回聲的現象,卻無法使其對該品牌的態度回到原先的水準。

英文摘要

Due to the development of information technology and the spread of SNS, the dissemination channels of fake news have become multiple and speedy, making more people vulnerable to the spread of fake news. However, FactCheck Center was established recently, when the public receives, and videos in the Internet, they will automatically check fake news through the FactCheck Center first, and delete them. Therefore, it reduces the chances of dissemination of many fake news, information, and videos. Because the fake news about commercial brand-related products will have a great negative impact on the reputation and revenue of business. This study takes the fake news related to commercial brands reported by the news media as the research object, and combines with the rumor retransmission model, elaboration likelihood model, and belief echo to explore the impact of fake news on belief echo of news readers. This study uses two research methods, questionnaire survey and online experiment, and collected 210 valid questionnaires. The results of this research found that news readers will strengthen their belief in fake news because of the high level of personal involvement, the high level of the source credibility, and the high quality of news arguments. Although fact-checking can reduce the level of belief in fake news for news readers with high brand emotional identification, and the phenomenon of belief echoes, but it failed to bring their attitudes toward the brand back to their original levels.

主题分类 基礎與應用科學 > 資訊科學
社會科學 > 管理學
参考文献
  1. 汪志堅,李欣穎(2005)。來源可信度、情感認同與涉入程度對網路謠言闢謠效果之影響。管理學報,22(3),391-413。
    連結:
  2. 胡元輝(2018)。造假有效、更正無力?第三方事實查核機制初探。傳播研究與實踐,8(2),43-73。
    連結:
  3. 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。
    連結:
  4. Allcott, H.,Gentzkow, M.(2017).Social media and fake news in the 2016 election.Journal of Economic Perspectives,31(2),211-236.
  5. Allport, G. & Postman, L. (1947). The Psychology of Rumor, Henry Holt and Company, New York.
  6. An, C. (2021). The world’s 100 most valuable brands in 2021, https://www.visualcapitalist.com/top-100-most-valuable-brands-in-2021/2021/10 /06.
  7. Au, C.H.,Ho, K.K.,Chiu, D.K.(2021).The role of online misinformation and fake news in ideological polarization: barriers, catalysts, and implications.Information Systems Frontiers,1-24.
  8. Bagozzi, R.P.,Yi, Y.(1988).On the evaluation of structural equation models.Journal of the Academy of Marketing Science,16(1),74-94.
  9. Balabanis, G.,Chatzopoulou, E.(2019).Under the influence of a blogger: the role of information seeking goals and issue involvement.Psychology and Marketing,36(4),342-353.
  10. Bianchi, C.,Andrews, L.,Wiese, M.,Fazal-E-Hasan, S.(2017).Consumer intentions to engage in commerce: a cross-national study.Journal of Marketing Management,33(5-6),464-494.
  11. Briciu, V. A.,Briciu, A.(2016).A brief history of brands and the evolution of place branding.Bulletin of the Transilvania University of Brasov,9(2),137-142.
  12. Bucy, E.P.(2003).Media Credibility Reconsidered: Synergy between On-Air and Online News.Journalism & Mass Communication Quarterly,80(2),247-264.
  13. Chatterjee, S.,Price, B.P.(1973).Regression Analysis by Example.Somerset, UK:Wiley.
  14. Chen, J.,Shen, X.L.(2015).Consumers' decisions in social commerce context: an empirical investigation.Decision Support Systems,79,55-64.
  15. Chen, Y.,Lu, Y.,Wang, B.,Pan, Z.(2019).How do product recommendations affect impulse buying? An empirical study on WeChat social commerce.Information & Management,56(2),236-248.
  16. Chih, W.H.,Hsu, L.C.,Ortiz, J.(2020).The antecedents and consequences of the perceived positive eWOM review credibility.Industrial Management and Data Systems,120(6),1217-1243.
  17. Chin, W.W.,Gopal, A.,Salisbury, W.D.(1997).Advancing the theory of adaptive structuration: The development of a scale to measure faithfulness of appropriation.Information Systems Research,8(4),342-367.
  18. Confente, I.,Kucharska, W.(2021).Company versus consumer performance: does brand community identification foster brand loyalty and the consumer's personal brand?.Journal of Brand Management,28(1),8-31.
  19. Conroy, N.J.,Rubin, V.L.,Chen, Y.(2015).Automatic deception detection: Methods for finding fake news.Proceedings of the Association for Information Science and Technology,52(1),1-4.
  20. DeVellis, R. F.(2012).Scale Development: Theory and Applications.Thousand Oaks, CA:Sage Publications.
  21. Ebrahim, E.,Ghoneim, A.,Irani, A.,Fan, Y.(2016).A Brand Preference and Repurchase Intention Model: The Role of Consumer Experience.Journal of Marketing Management,32(13-14),1230-1259.
  22. Farkas, J.,Schou, J.(2018).Fake News as a Floating Signifier: Hegemony, Antagonism and the Politics of Falsehood.Javnost - The Public,25(3),298-314.
  23. Festinger, L.(1962).A Theory of Cognitive Dissonance.Stanford, USA:Stanford University Press.
  24. Filieri, R.,Acikgoz, F.,Ndou, V.,Dwivedi, Y.(2020).Is tripadvisor still relevant? The influence of review credibility, review usefulness, and ease of use on consumers' continuance intention.International Journal of Contemporary Hospitality Management Science,33(1),199-223.
  25. Fishbein, M.,Ajzen, I.(1977).Belief, attitude, intention, and behavior: An introduction to theory and research.Reading, MA:Addison-Wesley.
  26. Fornell, C.,Larcker, D.F.(1981).Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research,18(1),39-50.
  27. Giglietto, F., Iannelli, L., Rossi, L., & Valeriani, A. (2016). Fakes, news and the election: A new taxonomy for the study of misleading information within the hybrid media system, Associazione Italiana di Comunicazione Politica, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2878774.
  28. Graves, L.,Cherubini, F.(2016).The rise of fact-checking sites in Europe.
  29. Gregory, R.W.,Kaganer, E.A.,Henfridsson, O.,Ruch, T.J.(2018).IT Consumerization and the Transformation of IT Governance.MIS Quarterly,42(4),1225-1253.
  30. Guess, A., Nyhan, B., & Reifler, J. (2018). Selective exposure to misinformation: Evidence from the consumption of fake news during the 2016 US presidential campaign. http://www.dartmouth.edu/~nyhan/fake-news2016.pdf.
  31. Ha, S.,Ahn, J.(2011).Why are you sharing others' tweets?: The impact of argument quality and source credibility on information sharing behavior.Proceedings of the International Conference on Information Systems (ICIS 2011),Shanghai, China:
  32. Hester, M. (2015). Understanding the Power of a Brand Name. http://www.nielsen.com/us/en/insights/reports/2015/looking-to-achieve-newproduct-success.html.
  33. Hollander, B.A.(2010).Persistence in the Perception of Barack Obama as a Muslim in the 2008 Presidential Campaign.Journal of Media and Religion,9(2),55-66.
  34. Hovland, C.I.,Weiss, W.(1951).The influence of source credibility on communication effectiveness.Public Opinion Quarterly,15(4),635-650.
  35. Huang, S.L.,Chang, C.Y.(2020).Understanding how people select social networking services: media trait, social influences and situational factors.Information and Management,57(6),103323.
  36. Huang, S.L.,Chen, C.T.(2018).How consumers become loyal fans on Facebook.Computers in Human Behavior,82,124-135.
  37. Kelman, H.C.,Hovland, C.I.(1953)."Reinstatement" of the communicator in delayed measurement of opinion change.The Journal of Abnormal and Social Psychology,48(3),327.
  38. Kessler, G. (2014). The global boom in political fact checking. https://www.washingtonpost.com/news/fact-checker/wp/2014/06/13/the-globalboom-in-fact-checking/.
  39. Kuleh, Y.,Setyadi, D.(2016).The effect of brand trust and affection on the attitudinal and purchase loyalty of celluler telecomunication customers in east kalimantanindonesia.European Journal of Business and Management,8(24),85-95.
  40. Lin, T.C.,Huang, S.L.,Liao, W.X.(2022).Examining the antecedents of everyday rumor retransmission.Information Technology & People,35(4),1326-1345.
  41. Liu, F.,Burton-Jones, A.,Xu, D.(2014).Rumors on Social Media in disasters: extending transmission to retransmission.Proceedings of the Pacific Asia Conference on Information Systems (PACIS),Cheng du, China:
  42. McCroskey, J.C.,Young, T.J.(1981).Ethos and credibility: The construct and its measurement after three decades.Communication Studies,32(1),24-34.
  43. McNair, B.(2018).Fake News: Falsehood. Fabrication and Fantasy in Journalism.Routledge.
  44. Meyer, P.(1988).Defining and measuring credibility of newspapers: Developing an index.Journalism Quarterly,65(3),567-574.
  45. Moore, D.J.,Mowen, J.C.,Reardon, R.(1994).Multiple sources in advertising appeals: When product endorsers are paid by the advertising sponsor.Journal of the Academy of Marketing Science,22(3),234-243.
  46. Newman, T.P.,Nisbet, E.C.,Nisbet, M.C.(2018).Climate change, cultural cognition, and media effects: Worldviews drive news selectivity, biased processing, and polarized attitudes.Public Understanding of Science,27(8),985-1002.
  47. Nyhan, B.,Reifler, J.(2015).The effect of fact‐checking on elites: A field experiment on US state legislators.American Journal of Political Science,59(3),628-640.
  48. Nyhan, B.,Reifler, J.(2015).Does correcting myths about the flu vaccine work? An experimental evaluation of the effects of corrective information.Vaccine,33(3),459-464.
  49. Oh, O.,Agrawal, M.,Rao, H.R.(2013).Community intelligence and social media services: A rumor theoretic analysis of tweets during social crises.MIS Quarterly,37(2),407-426.
  50. Park, C.W.,Jaworski, B.J.,MacInnis, D.J.(1986).Strategic brand concept-image management.Journal of Marketing,50(4),135-145.
  51. Park, J.,Chung, T.L.,Hall-Phillips, A.,Anaza, N.A.(2016).Loyalty to social ventures in social media: the role of social cause involvement, identification, and commitment.Journal of Nonprofit and Public Sector Marketing,28(3),185-208.
  52. Park, S.Y.,Go, E.(2016).Health information seeking on the internet: the role of involvement in searching for and assessing online health information.Health Marketing Quarterly,33(4),327-341.
  53. Petty, R.E.,Cacioppo, J.T.(1986).The elaboration likelihood model of persuasion.Advances in Experimental Social Psychology,19,123-205.
  54. Pfeffer, J.,Zorbach, T.,Carley, K. M.(2014).Understanding online firestorms: Negative word-of-mouth dynamics in social media networks.Journal of Marketing Communications,20(1-2),117-128.
  55. Podsakoff, P.M.,MacKenzie, S.B.,Lee, JY,Podsakoff, N.P.(2003).Common method biases in behavioral research: a critical review of the literature and recommended remedies.Journal of Applied Psychology,88(5),879.
  56. Podsakoff, P.M.,MacKenzie, S.B.,Podsakoff, N.P.(2012).Sources of method bias in social science research and recommendations on how to control it.Annual Review of Psychology,63,539-569.
  57. Ringle, C., Wende, S., & Becker, J.M. (2015). SmartPLS 3, SmartPLS GmbH, Boenningstedt, Retrieved from http://www.smartpls.com.
  58. Robbins, S.P.,Judge, T.A.(2018).Organizational Behavior.NY:Pearson.
  59. Shao, C.,Ciampaglia, G.L.,Varol, O.,Flammini, A.,Menczer, F.(2017).,未出版
  60. Sherif, M.,Hovland, C.I.(1961).Social judgment: Assimilation and contrast effects in communication and attitude change.American Journal of Society,68(1),126.
  61. Shu, K.,Sliva, A.,Wang, S.,Tang, J.,Liu, H.(2017).Fake news detection on social media: A data mining perspective.ACM SIGKDD Explorations Newsletter,19(1),22-36.
  62. Simpson, E.K.,Kahler, R.C.(1981).A scale for source credibility; Validated in the selling context.Journal of Personal Selling & Sales Management,1(1),17-25.
  63. Soll, J. (2016). The long and brutal history of fake news. https://www.politico.com/magazine/story/2016/12/fake-news-history-longviolent-214535.
  64. Spohr, D.(2017).Fake news and ideological polarization: Filter bubbles and selective exposure on social media.Business Information Review,34(3),150-160.
  65. Tandoc, E.C., Jr,Lim, Z.W.,Ling, R.(2018).Defining "fake news" A typology of scholarly definitions.Digital Journalism,6(2),137-153.
  66. Thomas, M.J.,Wirtz, B.W.,Weyerer, J.C.(2019).Determinants of online review credibility and its impact on consumers' purchase intention.Journal of Electronic Commerce Research,20(1),1-20.
  67. Thorson, E.(2016).Belief echoes: The persistent effects of corrected misinformation.Political Communication,33(3),460-480.
  68. Towers-Clark, C. (2019). Mona Lisa And Nancy Pelosi: The Implications of Deepfakes. https://www.forbes.com/sites/charlestowersclark/2019/05/31/mona-lisa-andnancy-pelosi-the-implications-of-deepfakes/#13b4949b4357.
  69. Vosoughi, S.,Roy, D.,Aral, S.(2018).The spread of true and false news online.Science,359(6380),1146-1151.
  70. Wang, Q.,Yang, X.,Xi, W.(2018).Effects of group arguments on rumor belief and transmission in online communities: an information cascade and group polarization perspective.Information & Management,55(4),441-449.
  71. Wang, W.Y. (2017). "Liar, Liar Pants on Fire": A new benchmark dataset for fake news detection. https://arxiv.org/abs/1705.00648.
  72. Wolny, J.,Mueller, C.(2013).Analysis of fashion consumers' motives to engage in electronic word-of-mouth communication through social media platforms.Journal of Marketing Management,29(5-6),562-583.
  73. Xiao, L.,Li, Y.(2019).Examining the effect of positive online reviews on consumers' decision making: the valence framework.Journal of Global Information Management,27(3),159-181.
  74. Ye, L.,Ki, E.J.(2018).Impact of message convergence on organizational reputation: an examination of organizational crisis communication on Facebook.Corporate Reputation Review,21(1),1-8.
  75. Zuckerberg, M.M. (2017). I want to respond to President Trump's tweet this morning claiming Facebook has always been against him. Every day I work to bring people together and build a community for everyone. https://www.facebook.com/zuck/posts/10104067130714241.
  76. 汪志堅,陳才(2019).假新聞:來源、樣態與因應策略.台北:前程文化.
  77. 馬探長的怪奇基地 (2021),「肯德基暗中製造變異怪雞?謠言背後的餐飲戰爭」,https://www.youtube.com/watch?v=XF2KvBToSbk.
  78. 張定明 (2017),「【假新聞】「內容農場」指薯條加致癌物,麥當勞澄清符合安全標準」,香港 01,https://www.hk01.com/sns/article/75101?utm_source=01articlecopy&utm_medium=referral.
  79. 麥擱騙(2018),「【過期了】義美年菜過期 10 年的「新聞」?網站發布 2015 的消息的用意是…」,https://www.mygopen.com/2018/01/102015.html.
  80. 麥擱騙(2017),「布丁、冰淇淋淪陷新聞影片?2013 年舊聞非近期事件」,https://www.mygopen.com/2021/07/pudding.html.