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Environmental Communication on Twitter: The Impact of Source, Bandwagon Support, and Message Valence on Target Audiences

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  • Min Xiao

    (Elliott School of Communication, Wichita State University, Wichita, KS 67260, USA)

Abstract

The goal of the research is to empirically examine how different factors affect the dissemination of environmental protection messages on social media. The theoretical foundation of the research is based on the literature on heuristics. Perceived bandwagon support, valence of message framing, and source of information (i.e., source credibility) were examined as the independent variables. The dependent variables were perceived information credibility, intention to share the message, and intention to read the article attached to the message. Four online experiments were conducted, and college students were sampled. Overall, the findings suggest that the impact of source, bandwagon support, and message valence affect behavioral intentions and perceived information credibility in various ways, and the extent of such impacts is context-dependent. The findings of the study would advance our theoretical understanding of how we use psychological heuristics to process information related to environmental communication. The findings would also help environmental organizations and activists to better communicate with their potential audiences.

Suggested Citation

  • Min Xiao, 2023. "Environmental Communication on Twitter: The Impact of Source, Bandwagon Support, and Message Valence on Target Audiences," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14732-:d:1257489
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    References listed on IDEAS

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    1. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    2. Ethan Pancer & Lindsay McShane & Theodore J. Noseworthy, 2017. "Isolated Environmental Cues and Product Efficacy Penalties: The Color Green and Eco-labels," Journal of Business Ethics, Springer, vol. 143(1), pages 159-177, June.
    3. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    4. Balaji, M.S. & Jiang, Yangyang & Jha, Subhash, 2021. "Nanoinfluencer marketing: How message features affect credibility and behavioral intentions," Journal of Business Research, Elsevier, vol. 136(C), pages 293-304.
    5. Sihem Dekhili & Mohamed Achabou, 2015. "The Influence of the Country-of-Origin Ecological Image on Ecolabelled Product Evaluation: An Experimental Approach to the Case of the European Ecolabel," Journal of Business Ethics, Springer, vol. 131(1), pages 89-106, September.
    6. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    7. Levin, Irwin P. & Schneider, Sandra L. & Gaeth, Gary J., 1998. "All Frames Are Not Created Equal: A Typology and Critical Analysis of Framing Effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 76(2), pages 149-188, November.
    8. Li, Mengyu & Li, Jinglei & Yasin, Megat Al Imran & Hashim, Norliana Binti & Ang, Lay Hoon & Bidin, Rosmiza, 2022. "Impact of celebrity-endorsed environmental advertisements on green economy development," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    Full references (including those not matched with items on IDEAS)

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