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“In Flow”! Why Do Users Share Fake News about Environmentally Friendly Brands on Social Media?

Author

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  • Daniel-Rareș Obadă

    (Department of Communication Sciences and Public Relations, Faculty of Philosophy and Socio-Political Sciences, Alexandru Ioan Cuza University of Iași, 700506 Iași, Romania)

  • Dan-Cristian Dabija

    (Department of Marketing, Faculty of Economics and Business Administration, Babeș-Bolyai University, 400591 Cluj-Napoca, Romania)

Abstract

Social media has triggered an increase in fake news spread about different aspects of modern lives, society, politics, societal changes, etc., and has also affected companies’ reputation and brands’ trust. Therefore, this paper is aimed at investigating why social media users share fake news about environmentally friendly brands. To examine social media users’ behavior towards environmentally friendly brands, a theoretical research model proposed and analyzed using structural equations modeling in SmartPLS on a convenience sample consisting of 922 questionnaires. Data was collected by means of a quantitative-based approach via a survey conducted among social media users from an emerging market. The results show that social media flow has a mediated impact on sharing fake news about environmentally friendly brands on social media. Considering the critical consequences of fake news, the paper argues that understanding the dissemination process of this type of bogus content on social media platforms has important theoretical and managerial implications. Understanding the psychological mechanisms that influence people’s behavior in sharing fake news about environmentally friendly brands on social networking sites (SNS) could help in better understanding the factors and the effects of this phenomenon. The originality of this research consists of proposing flow theory from positive psychology to be used as a theoretical framework to explain users’ behavior of sharing fake news about environmentally friendly brands on social media.

Suggested Citation

  • Daniel-Rareș Obadă & Dan-Cristian Dabija, 2022. "“In Flow”! Why Do Users Share Fake News about Environmentally Friendly Brands on Social Media?," IJERPH, MDPI, vol. 19(8), pages 1-26, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4861-:d:795575
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    1. Talwar, Shalini & Dhir, Amandeep & Kaur, Puneet & Zafar, Nida & Alrasheedy, Melfi, 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, Elsevier, vol. 51(C), pages 72-82.
    2. Jamie Carlson & Natalie Jane Vries & Mohammad M. Rahman & Alex Taylor, 2017. "Go with the flow: engineering flow experiences for customer engagement value creation in branded social media environments," Journal of Brand Management, Palgrave Macmillan, vol. 24(4), pages 334-348, August.
    3. Shi-Woei Lin & Yu-Cheng Liu, 2012. "The effects of motivations, trust, and privacy concern in social networking," Service Business, Springer;Pan-Pacific Business Association, vol. 6(4), pages 411-424, December.
    4. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    5. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    6. Domenico, Giandomenico Di & Sit, Jason & Ishizaka, Alessio & Nunan, Daniel, 2021. "Fake news, social media and marketing: A systematic review," Journal of Business Research, Elsevier, vol. 124(C), pages 329-341.
    7. Balakrishnan, Vimala & Ng, Kee S. & Rahim, Hajar Abdul, 2021. "To share or not to share – The underlying motives of sharing fake news amidst the COVID-19 pandemic in Malaysia," Technology in Society, Elsevier, vol. 66(C).
    8. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    9. Sanghee Oh & Sue Yeon Syn, 2015. "Motivations for sharing information and social support in social media: A comparative analysis of Facebook, Twitter, Delicious, YouTube, and Flickr," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2045-2060, October.
    10. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    11. Husted, Bryan W., 1998. "The Ethical Limits of Trust in Business Relations," Business Ethics Quarterly, Cambridge University Press, vol. 8(2), pages 233-248, April.
    12. Hoffman, Donna L. & Novak, Thomas P., 2009. "Flow Online: Lessons Learned and Future Prospects," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 23-34.
    13. Norhuda Salim & Mohd Nizam Ab Rahman & Dzuraidah Abd Wahab & Ariff Azly Muhamed, 2020. "Influence of Social Media Usage on the Green Product Innovation of Manufacturing Firms through Environmental Collaboration," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    14. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    15. Kohli, Chiranjeev & Suri, Rajneesh & Kapoor, Anuj, 2015. "Will social media kill branding?," Business Horizons, Elsevier, vol. 58(1), pages 35-44.
    16. Hyun, Hyowon & Thavisay, Toulany & Lee, Suk Hyung, 2022. "Enhancing the role of flow experience in social media usage and its impact on shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
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    Cited by:

    1. Tingfa Zhang & Huaying Qin & Weishuang Xu, 2022. "Environmental Regulation, Greenwashing Behaviour, and Green Governance of High-Pollution Enterprises in China," IJERPH, MDPI, vol. 19(19), pages 1-22, October.
    2. Jeanie Arnold & Caitlin P. Bailey & W. Douglas Evans & Melissa A. Napolitano, 2022. "Application of McGuire’s Model to Weight Management Messages: Measuring Persuasion of Facebook Posts in the Healthy Body, Healthy U Trial for Young Adults Attending University in the United States," IJERPH, MDPI, vol. 19(21), pages 1-15, November.
    3. Daniel-Rareș Obadă & Dan-Cristian Dabija & Veronica Câmpian, 2024. "Predictors of social media users’ intention to donate online towards international NGOs in the fake news era," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    4. Camelia Grădinaru & Daniel-Rareș Obadă & Ioan-Alexandru Grădinaru & Dan-Cristian Dabija, 2022. "Enhancing Sustainable Cosmetics Brand Purchase: A Comprehensive Approach Based on the SOR Model and the Triple Bottom Line," Sustainability, MDPI, vol. 14(21), pages 1-22, October.

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