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Motivation Versus Intention of Sharing Fake News Among Social Media Users during the Pandemic - A SEM Model

  • Alvi, Irum (Department of Humanities, English and Applied Sciences (HEAS), Rajasthan Technical University) ;
  • Saraswat, Niraja (Department of Humanities and Social Sciences, Malaviya National Institute of Technology)
  • Published : 2021.12.31

Abstract

Are intentions important in deciding the outcome of an action such as sharing misinformation among social media users during the pandemic? What is their role and how far they are important for the very act of fake sharing news? The social media users' actions on the social platform are determined by what they plan to do themselves; however, their motivation has an immense role to play in the dissemination of fake news on social media. The study proposes a conceptual model for understanding how select factors affect fake news sharing motivation and intentions of social media users. The study scrutinizes the relationship between content and context, fear of missing out (FoMO), news verification and news sharing gratification on the motivation and intention of social media users of networked Asian society. Empirical Data were drawn from social media users (N = 243) from India, using an online questionnaire based on prior studies and structural equation modeling (SEM) approach was used to analyze the data collected. Results indicate that news content, news verification, and news sharing gratification have a direct and positive relationship with sharing motivation. On the other hand, news context and content, FoMO and news sharing gratification have a positive significant relationship with sharing intention. Likewise, it was discovered that news verification will decrease sharing intention of the social media users. However, news context, that is the pandemic in the case of the present study and FoMO were not identified as determinant variables for sharing motivation among social media users. The research limitations and further scope were discussed.

Keywords

References

  1. Ahmadi, M., & Wohn, D. Y. (2018). The Antecedents of Incidental News Exposure on Social Media. Social Media and Society, 4(2). https://doi.org/10.1177/2056305118772827
  2. Al-Zaman, M. Sayeed. (2021). Social Media Fake News in India. Asian Journal for Public Opinion Research, 9(1), 25-47. 7. https://doi.org/10.15206/ajpor.2021.9.1.25
  3. Anspach, N. M., & Carlson, T. N. (2018). What to Believe? Social Media Commentary and Belief in Misinformation. Political Behavior, 42(2). https://doi.org/10.1007/s11109-018-9515-z
  4. Baccarella, C., Wagner, T., Kietzmann, J., & McCarthy, I. (2018). Social Media? It's serious! Understanding the Dark Side of Social Media. European Management Journal, 36, 431-438. https://doi.org/10.1016/j.emj.2018.07.002
  5. Baek, K., Holton, A., Harp, D., & Yaschur, C. (2011). The Links that Bind: Uncovering Novel Motivations for Linking on Facebook. Computers in Human Behavior, 27(6), 2243-2248. https://doi.org/10.1016/j.chb.2011.07.003
  6. Bergkvist, L. & Rossiter, J.R. (2007). The Predictive Validity of Multiple-Item Versus Single-item Measures of the Same Constructs. Journal of Marketing Research. 44 (2), 175-184. https://doi.org/10.1509/jmkr.44.2.175
  7. Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015). Can Disordered Mobile Phone Use be Considered a Behavioral Addiction? An Update on Current Evidence and a Comprehensive Model for Future Research. Current Addiction Reports, 2(2), 156-162. https://doi.org/10.1007/s40429-015-0054-y
  8. Blachnio, A., & Przepiorka, A. (2018). Facebook Intrusion, Fear of Missing Out, Narcissism, and Life Satisfaction: A Cross-sectional Study. Psychiatry Research, 259, 514-519. https://doi.org/10.1016/j.psychres.2017.11.012
  9. Blackwell, D., Leaman, C., Tramposch, R., Osborne, C., & Liss, M. (2017). Extraversion, Neuroticism, Attachment Style and Fear of Missing Out as Predictors of Social Media Use and Addiction. Personality and Individual Differences, 116, 69-72. https://doi.org/10.1016/j.paid.2017.04.039
  10. Borondo, S. (2020). The Most Widespread Hoaxes about the Coronavirus (and how to detect them) on WhatsApp and Social networks. El Correo, 27 March. Available at: https://www.elcorreo.com/tecnologia/internet/bulos-coronavirusxtendidos20200326134242-nt.html
  11. Brand-Gruwel, S., Kammerer, Y., Van Meeuwen, L., & Van Gog, T. (2017). Source Evaluation of Domain Experts and Novices during Web Search. Journal of Computer Assisted Learning, 33, 234-251. https://doi.org/10.1111/jcal.12162
  12. Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too Much Facebook? An Exploratory Examination of Social Media Fatigue. Computers in Human Behavior, 44, 148-155. https://doi.org/10.1016/j.chb.2014.11.048
  13. Byrne, B. M. (2010). Structural Equation Modelling with AMOS: Basic Concepts, Applications, and Programming (multivariate applications series). New York: Routledge Publishing
  14. Carmines, E. G., and McIver, J. P. (1981). Analyzing models with unobserved variables: Analysis of covariance structures. In Bohrnstedt, G. W., & Borgatta, E. F. (eds.), Social Measurement: Current Issues, Sage, Beverly Hills, Calif. 65-115.
  15. Chan-Olmsted, S. M., & Wolter, L. C. (2018). Perceptions and Practices of Media Engagement: A Global Perspective. JMM International Journal on Media Management. https://doi.org/10.1080/14241277.2017.1402183
  16. Chadwick, A., & Vaccari, C. (2019). News sharing on UK social media: Misinformation, disinformation, and correction (Report No. O3C 1). London: Loughborough University. Retrieved from https://repository. lboro.ac.uk/articles/News_sharing_on_UK_social_media_misinformation_disinformation_and_ correction/9471269
  17. Chen, X., & Sin, S. J. (2013). Misinformation? What of it? Motivations and Individual Differences in Misinformation Sharing on Social-Media. Proceedings of the American Society for Information Science and Technology, 50(1), 1-4. Retrieved from www.asis.org/asist2013/proceedings/submissions/ posters/23poster.pdf
  18. Chen, X., Sin, S. J., Theng, Y., & Lee, C. S. (2015). Why Students Share Misinformation on Social Media: Motivation, Gender, and Study-level Differences. The Journal of Academic Librarianship, 41, 583-592. https://doi.org/10.1016/j.acalib.2015.07.003
  19. Chen, X. (2016). "The influences of personality and motivation on the sharing of misinformation on social media," in Proceedings of the Conference 2016: Partnership with Society, pp. 1-11, Philadelphia, Pa, USA.
  20. Chen, V. Y., & Pain, P. (2019). News on Facebook: How Facebook and Newspapers Build Mutual Brand Loyalty through Audience Engagement. Journal and Mass Communication Quarterly, Online Firs, 1-21
  21. Chinmayi, A. (2019). On WhatsApp, Rumours, and Lynchings. Economic and Political Weekly, 54(6), 30-35.
  22. Cho, B. Y., & Afflerbach, P. (2017). An Evolving Perspective of Constructively Responsive Reading Comprehension Strategies in Multilayered Digital Text Environments. In S. E. Israel (Ed.), Handbook of research on reading comprehension (2nd ed., pp. 109-134). New York: Guilford Press.
  23. Cinelli, M., Quattrociocchi, W., Galeazzi A, et al. (2020). The Covid19 Social Media Infodemic. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-73510-5
  24. Coiro, J., Sparks, J. R., & Kulikowich, J. M. (2018). Assessing Online Collaborative Inquiry and Social Deliberation Skills as Learners Navigate Multiple Sources and Perspectives. In J. L. G. Braasch, I. Braten, & M. T. McCrudden (Eds.), Handbook of multiple source use (pp. 34-54). New York: Routledge.
  25. Dhir, A., Chen, S., & Nieminen, M. (2015). Predicting Adolescent Internet Addiction: The Roles of Demographics, Technology Accessibility, Unwillingness to Communicate and Sought Internet Gratifications. Computers in Human Behavior, 51, 24-33. https://doi.org/10.1016/j. chb.2015.04.056
  26. Dhir, A., Kaur, P., Chen, S., & Lonka, K. (2016) a. Understanding Online Regret Experience in Facebook Use - Effects of Brand Participation, Accessibility & Problematic Use. Computers in Human Behavior, 59, 420-430. https://doi.org/10.1016/j.chb.2016.02.040
  27. Dhir, A., Kaur, P., Lonka, K., & Nieminen, M. (2016) b. Why Do Adolescents Untag Photos on Facebook? Computers in Human Behavior, 55, 1106-1115. https://doi.org/10.1016/j.chb.2015.11.017
  28. Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018) a. Online Social Media Fatigue and Psychological Wellbeing: A Study of Compulsive Use, Fear of Missing Out, Fatigue, Anxiety and Depression. International Journal of Information Management, 40, 141-152. https://doi.org/10.1016/j.ijinfomgt. 2018.01.012
  29. Dhir, A., Kaur, P., & Rajala, R. (2018) b. Why Do Young People Tag Photos on Social Networking Sites? Explaining User Intentions. International Journal of Information Management, 38 (1), 117-127. https://doi.org/10.1016/j.ijinfomgt.2017.07.004
  30. Dhir, A., Khalil, A., Kaur, P., & Rajala, R. (2018) c. Rationale for "Liking" on Social Networking Sites. Social Science Computer Review, https://doi.org/10.1177/0894439318779145
  31. Drolet, A. L. & Morrison, D. G. (2001). Do We Really Need Multiple-item Measures in Service Research? Journal of Service Research, 3 (3), 196-204. https://doi.org/10.1177/109467050133001
  32. Duffy, A., Tandoc, E., & Ling, R. (2019). Too Good to be True, Too Good Not to Share: The Social Utility of Fake News. Information, Communication & Society, 23(13), 1-15.
  33. Duffy, A., Tandoc, E., Ling, R. (2019). Too Good to be True, Too Good Not to Share: the Social Utility of Fake News. Information Communication and Society, 1-15. https://doi.org/10.1080/1369118X.2019.1623904
  34. Farooq, G. (2018). Politics of Fake News: How WhatsApp Became a Potent Propaganda Tool in India. Media Watch, 9, 106-17. https://doi.org/10.15655/MW/2018/V9I1/49279
  35. Ferdinand, A. (2002). Structural Equation Modelling dalam Penelitian. Manajemen. Semarang: Fakultas Ekonomi UNDIP.
  36. Ferrara, E. (2020). What Types of Covid-19 Conspiracies are Populated by Twitter bots? First Monday, 25(6). http://dx.doi.org/10.5210/fm.v25i6.10633
  37. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
  38. Frenkel, S., Alba, D., & Zhong, R. (2020). Surge of Virus Misinformation Stumps Facebook and Twitter. The New York Times. https://www.nytimes.com/2020/03/08/technology/coronavirus-misinformation-social-media.html
  39. Fuchs, C., & Diamantopoulos, A. (2009). Using Single-item Measures for Construct Measurement in Management Research: Conceptual Issues and Application Guidelines. Die Betriebswirtschaft, 69 (2), 195-210.
  40. Griffin, R. J., Neuwirth, K., Giese, J., & Dunwoody, S. (2002). Linking the Heuristic-systematic Model and Depth of Processing. Communication Research, 29, 705-732. https://doi.org/10.1177/009365002237833
  41. Ha, L., Yoon, K., Zhang, X. (2013). Consumption and Dependency of Social Network Sites as a News Medium: A Comparison between College Students and General Population. Journal of Communication and Media Research, 5 (1), 1-14.
  42. Hair, J. F., William, C. B., Barry, J. B., & Rolph, E. A. (1992). Multivariate Data Analysis. Technometrics, 15 (3): 648. https://doi.org/10.2307/1266874
  43. Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R.E. (2009). Multivariate Data Analysis: A Global perspective. Upper Saddle River: Prentice Hall.
  44. Hair, J. F., William, C. B., Barry, J.B., & Rolph, E.A. (2010). Multivariate Data Analysis 7th Edition:Pearson Education.
  45. Hou, Z., Du, F., Jiang, H., Zhou, X., Lin, L., Assessment, T., & Commission, N. H. (2020). Assessment of Public Attention, Risk Perception, Emotional and Behavioural Responses to the COVID-19 Outbreak: Social Media Surveillance in China. doi:10.1101/2020.03.14.20035956
  46. Houston, G. J., Hansen, G. S., & Nisbett. (2011). Influence of User Comments on Perceptions of Media Bias and Third-Person Effect in Online News. Electronic News, 5(2), 79-92. https://doi.org/10.1177/1931243111407618
  47. Hu, L. T., & Bentler, P. M. (1999). Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
  48. Huynh, T. L. D. (2020). The COVID-19 Risk Perception: A Survey on Socioeconomics and Media Attention. Economics Bulletin, 40 (1), 758-764.
  49. Ireton, C., & Posetti, J. (2018). Journalism Fake News and Disinformation: A Handbook of Journalism Education and Training, France: United Nations Educational, Science and Cultural Organisation.
  50. Jang, S. M., Kim, J. K., (2018). Third Person Effects of Fake News: Fake News Regulation and Media Literacy Interventions. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2017.11.034
  51. Kanozia, R., Arya, R., Singh, S., Ganghariya, G., & Narula, S. (2021). A Study on Fake News Subject Matter, Presentation Elements, Tools of Detection, and Social Media Platforms in India. Asian Journal for Public Opinion Research, 9, 48-82. https://doi.org/10.15206/ajpor.2021.9.1.48
  52. Khuntia, J., Sun, H., & Yim, D. (2016). Sharing News through Social Networks. International Journal on Media Management, 18(1), 59-74. https://doi.org/10.1080/14241277.2016.1185429
  53. Kim, J. H., Kim, M.-S., & Nam, Y. (2010). An Analysis of Self-Construals, Motivations, Facebook Use, and User Satisfaction. International Journal of Human-Computer Interaction, 26(11-12), 1077-1099. https://doi.org/10.1080/10447318.2010.516726
  54. Kim, J., Lee, C., & Elias, T. (2015). Factors Affecting Information Sharing in Social Networking Sites Amongst University Students: Application of the Knowledge-sharing Model to Social Networking Sites. Online Information Review, 39 (3), 290-309. https://doi.org/10.1108/OIR-01-2015-0022
  55. Ksiazek, T. B., Peer, L., & Lessard, K. (2016). User Engagement with Online News: Conceptualizing Interactivity and Exploring the Relationship between Online News Videos and User Comments. New Media and Society, 18(3), 502-520. https://doi.org/10.1177/1461444814545073
  56. Lampos, V., Moura, S., Yom-Tov, E., Cox, I. J., McKendry, R., & Edelstein, M. (2020). Tracking COVID-19 using Online Search, 93, 4-9. http://arxiv.org/abs/2003.08086
  57. Laura, M. & Carlo, G. (2014). Prosocial Development: A Multidimensional Approach. New York: Oxford University Press.
  58. Lazer, D. M. J., Baum, M. A., Benkler Y., Berinsky, A. J., Greenhill, K. M., Menczer, F., Metzger, M. J., Nyhan, B., Pennycook, G., Rothschild, D., Schudson, M., Sloman, S. A., Sunstein, C. R., Thorson, E. A., Watts, D. J., & Zittrain, J. L. (2018). The Science of Fake News. Science, 359(6380), 1094-1096. https://doi.org/10.1126/science.aao2998
  59. Lee, C. S., Ma, L., Goh, D. H. L. (2011). Why do People Share News in Social Media? Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6890, 129-140. https://doi.org/10.1007/978-3-642-23620-4_17
  60. Lee, C.S., Ma, L. (2012). News sharing in social media: The effect of gratifications and prior experience. Computers in Human Behavior 28 (2), 331-339. https://doi.org/10.1016/j.chb.2011.10.002.
  61. Lerman K. & Ghosh R. (2010). Information Contagion: An Empirical Study of the Spread of News on Digg and Twitter Social Networks. Fourth International AAAI Conference on Weblogs and Social Media, 90-97. https://doi.org/10.1146/annurev.an.03.100174.001431
  62. Lin, K. Y., Lu, H. P. (2011). Intention to Continue using Facebook Fan Pages from the Perspective of Social Capital Theory. Cyberpsychology, Behaviour, and Social Networking, 14 (10), 565-570. https://doi.org/10.1089/cyber.2010.0472
  63. McKerlich, R., Ives, C., & McGreal, R. (2013). User Engagement in Online News: Under the Scope of Sentiment, Interest, Affect, and Gaze. International Review of Research in Open and Distance Learning, 14(4), 90-103. https://doi.org/10.1177/ 0924051917738685
  64. McGonagle, T. (2017). "Fake news": False Fears or Real Concerns? Netherlands Quarterly of Human Rights, 35(4), 203-209. https://doi.org/10.1177/0924051917738685
  65. Mukherjee, R. (2020). Mobile Witnessing on WhatsApp: Vigilante Virality and the Anatomy of Mob Lynching. South Asian Popular Culture, 18, 79-101. https://doi.org/10.1080/14746689.2020.1736810
  66. Nazmi, S. (2019). Why India Shuts Down the Internet More than Any Other Democracy. BBC News. Available online: http://bbc.com/news/world-asia-india-50819905 (accessed on 1 August 2020).
  67. Newtral. (2019). Ocho claves para detectar noticias falsas. Available at: https://www.newtral.es/ocho-claves-paradetectar-noticias-falsas/20190513/ (accessed 8 April 2020
  68. Nov, O., Naaman, M., & Ye, C. (2009). Analysis of Participation in an Online Photo-sharing Community: A Multidimensional Perspective. Journal of the American Society for Information Science and Technology, 61(3), 555-566. https://doi.org/10.1002/asi.21278
  69. Oberst, U., Wegmann, E., Stodt, B., Brand, M., & Chamarro, A. (2017). Negative Consequences from Heavy Social Networking in Adolescents: The Mediating Role of Fear of Missing Out. Journal of Adolescence, 55, 51-60. https://doi.org/10.1016/j.adolescence.2016.12.008
  70. Oeldorf-Hirsch, A., & Sundar, S. S. (2015). Posting, Commenting, and Tagging: Effects of Sharing News Stories on Facebook. Computers in Human Behavior, 44, 240-249. https://doi.org/10.1016/j.chb.2014.11.024
  71. Pennycook, G., Mcphetres, J., Zhang, Y., & Lu, J. G. (2020). Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy Nudge Intervention. Psychological Science, 31(7), 770-780. https://doi.org/10.1177/0956797620939054
  72. Przybylski, A. K., Murayama, K., DeHaan, C. R., & Gladwell, V. (2013). Motivational, Emotional, and Behavioral Correlates of Fear of Missing Out. Computers in Human Behavior, 29(4), 1841-1848. https://doi.org/10.1016/j.chb.2013.02.014
  73. Psychological Wellbeing: A Study of Compulsive Use, Fear of Missing Out, Fatigue, Anxiety and Depression. International Journal of Information Management, 40, 141-152. https://doi.org/10.1016/j.ijinfomgt.2018.01.012
  74. Raj, A., & Goswami, M. P. (2020). Is Fake News Spreading More Rapidly than COVID-19 in India? A Representative Study of People's Perspective on Controlling the Spread of Fake News on Social-Media. Journal of Content, Community and Communication, 11, 208-20. https://doi.org/10.31620/JCCC.06.20/15
  75. Rojas, H., Shah, D.V., Faber, R.J. (1996). For the Good of Others: Censorship and the Thirdperson Effect. International Journal of Public Opinion Research, 8(2) 163-186. https://doi.org/10.1093/ijpor/8.2.163
  76. Ruscio, J., & Roche, B. (2012). Determining the Number of Factors to Retain in an Exploratory Factor Analysis using Comparison Data of a Known Factorial Structure. Psychological Assessment, 24(2), 282-292. https://doi.org/10.1037/a0025697
  77. Russonello, G. (2020). Afraid of Coronavirus? That Might Say Something About Your Politics. The New York Times.
  78. Singh L, Bansal S, Bode L, & Budak, C. (2020). A First Look at COVID19 Information and Misinformation Sharing on Twitter. arXiv.org. Epub ahead of print 31 March 2020.
  79. Soler Sarrio, A. (2020). Avalancha De Bulos Y Fake News Durante la Crisis Del Covid-19. Available at: https://www.albertosoler. es/avalancha-de-bulos-y-fake-news-durante-lacrisis-delcovid-19/
  80. Sydell, L. (2016). We tracked down a fake-news creator in the suburbs: Here's what we learned.Npr.org. https://www.npr.org/sections/alltechconsidered/2016/11/23/503146770/npr-finds-thehead-of-a-covert-fake-newsoperation-in-the-suburbs
  81. Talwar, S., Dhir, A., Kaur, P., Zafar, N., & Alrasheedy, M. (2019). Why do People Share Fake News? Associations between the Dark Side of Social Media Use and Fake News Sharing Behavior. Journal of Retailing and Consumer Services, 51, 72-82. https://doi.org/10.1016/j.jretconser.2019.05.026
  82. Talwar, S., Dhir, A., Khalil, A., Mohan, G., & Najmul Islam, A. K. M. (2020). Point of Adoption and Beyond: Initial Trust and Mobile-payment Continuation Intention. J.ournal of Retailing and Consumer Services, 55. https://doi.org/10.1016/j.jretconser.2020.102086
  83. Tandoc, E. C. (2019). The Facts of Fake News: A Research Review. Sociology Compass, 13(9).
  84. Vincent, F. (2020). Como Combatir las Fake News en la Era del Covid-19. YouTube, 25 March. Available at: https://www. youtube.com/watch?v=6QgTUPL2Xqs
  85. Vishwanath, A., Herath, T., Chen, R., Wang, J., & Rao, H. R., (2011). Why do People Get Phished? Testing Individual Differences in Phishing Vulnerability within an Integrated, Information Processing Model. Decision Support Systems. 51 (3). 576-586. doi:10.1016/j.dss.2011.03.002
  86. Vraga, E. K, Bode, L., & Tully, M. (2020). Creating News Literacy Messages to Enhance Expert Corrections of Misinformation on Twitter. Communication Research. https://doi.org/10.1177/0093650219898094
  87. Wanous, J. P. & Hudy, M. J. (2001). Single-item Reliability: A Replication and Extension. Organizational Research Methods, 4 (4), 361-375. https://doi.org/10.1177/109442810144003
  88. Waszak, P. M., Kasprzycka-Waszak, W., & Kubanek, A. (2018). The Spread of Medical Fake News in Social Media - The Pilot Quantitative Study. Health Policy and Technology, 7 (2), 115-118. https://doi.org/10.1016/j.hlpt.2018.03.002
  89. Wegmann, E., & Brand, M. (2016). Internet-communication Disorder: It's a Matter of Social Aspects, Coping, and Internet-use Expectancies. Frontiers in Psychology, 7, 1747. https://doi.org/10.3389/fpsyg.2016.01747
  90. Wegmann, E., Oberst, U., Stodt, B., & Brand, M. (2017). Online-specific Fear of Missing Out and Internet-use Expectancies Contribute to Symptoms of Internet-communication Disorder. Addictive Behaviors Reports, 5, 33-42. https://doi.org/10.1016/j.abrep.2017.04.001
  91. Zhou, X., & Zafarani, R. (2018). Fake News: A Survey of Research. Detection Methods. and opportunities. arXiv preprint arXiv:1812.00315.