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Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers

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  • Nai-Hua Chen

    (Department of Information Management, Graduate Institute of Services and Technology Management, Chienkuo Technology University, Changhua City 500-94, Taiwan)

Abstract

Climate change is a significant challenge for the international community. A significant part of addressing this challenge involves informing people about climate change to try and change behavior. Organizations like Technology, Entertainment, and Design (TED) use social media as a means of disseminating information about the complexities of climate science. In this study, we investigate viewers’ responses to 50 TED videos associated with climate change that are posted on YouTube. We elucidate the opinions of both speakers and viewers through sentiment analysis of 59,023 comments and negative binomial regression techniques of viewers’ reactions. The most frequently mentioned keywords are emission, temperature, environment, nature, renewable energy, and economics. The top three emotions evoked by reviewer are trust, fear, and anticipation. The issue of economics is largely responsible for triggering these emotional responses.

Suggested Citation

  • Nai-Hua Chen, 2020. "Exploring the Cognitive and Emotional Impact of Online Climate Change Videos on Viewers," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9571-:d:446583
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    1. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    2. Quan Li & Wenbo Wei & Nian Xiong & Daici Feng & Xinyue Ye & Yongsheng Jiang, 2017. "Social Media Research, Human Behavior, and Sustainable Society," Sustainability, MDPI, vol. 9(3), pages 1-11, March.
    3. Greene, William, 2008. "Functional forms for the negative binomial model for count data," Economics Letters, Elsevier, vol. 99(3), pages 585-590, June.
    4. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    5. Bogdan Anastasiei & Nicoleta Dospinescu, 2017. "Facebook Advertising, Relationship Between Types Of Message, Brand Attitude And Perceived Buying Risk," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 18-26, December.
    6. Gurmu, Shiferaw & Trivedi, Pravin K, 1996. "Excess Zeros in Count Models for Recreational Trips," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(4), pages 469-477, October.
    7. Kurt Hornik & Christian Buchta & Achim Zeileis, 2009. "Open-source machine learning: R meets Weka," Computational Statistics, Springer, vol. 24(2), pages 225-232, May.
    8. Octavian DOSPINESCU & Iulian POPA, 2016. "Face Detection and Face Recognition in Android Mobile Applications," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 20(1), pages 20-28.
    9. D. Böhning & E. Dietz & P. Schlattmann & L. Mendonça & U. Kirchner, 1999. "The zero‐inflated Poisson model and the decayed, missing and filled teeth index in dental epidemiology," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(2), pages 195-209.
    10. James Swaim & Michael Maloni & Stuart Napshin & Amy Henley, 2014. "Influences on Student Intention and Behavior Toward Environmental Sustainability," Journal of Business Ethics, Springer, vol. 124(3), pages 465-484, October.
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    Cited by:

    1. Elżbieta Izabela Szczepankiewicz & Jan Fazlagić & Windham Loopesko, 2021. "A Conceptual Model for Developing Climate Education in Sustainability Management Education System," Sustainability, MDPI, vol. 13(3), pages 1-26, January.

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