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Concerned or Apathetic? Using Social Media Platform (Twitter) to Gauge the Public Awareness about Wildlife Conservation: A Case Study of the Illegal Rhino Trade

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  • Siqing Shan

    (School of Economics and Management, Beihang University, Beijing 100191, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operation, Beijing 100191, China)

  • Xijie Ju

    (School of Economics and Management, Beihang University, Beijing 100191, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operation, Beijing 100191, China)

  • Yigang Wei

    (School of Economics and Management, Beihang University, Beijing 100191, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operation, Beijing 100191, China)

  • Xin Wen

    (School of Economics and Management, Beihang University, Beijing 100191, China
    Beijing Key Laboratory of Emergency Support Simulation Technologies for City Operation, Beijing 100191, China)

Abstract

The illegal wildlife trade is resulting in worldwide biodiversity loss and species’ extinction. It should be exposed so that the problems of conservation caused by it can be highlighted and resolutions can be found. Social media is an effective method of information dissemination, providing a real-time, low-cost, and convenient platform for the public to release opinions on wildlife protection. This paper aims to explore the usage of social media in understanding public opinions toward conservation events, and illegal rhino trade is an example. This paper provides a framework for analyzing rhino protection issues by using Twitter. A total of 83,479 useful tweets and 33,336 pieces of users’ information were finally restored in our database after filtering out irrelevant tweets. With 2422 records of trade cases, this study builds up a rhino trade network based on social media data. The research shows important findings: (1) Tweeting behaviors are somewhat affected by the information of traditional mass media. (2) In general, countries and regions with strong negative sentiment tend to have high volume of rhino trade cases, but not all. (3) Social celebrities’ participation in activities arouses wide public concern, but the influence does not last for more than a month. NGOs, GOs, media, and individual enterprises are dominant in the dissemination of information about rhino trade. This study contributes in the following ways: First, this paper conducts research on public opinions toward wildlife conservation using natural language processing technique. Second, this paper offers advice to governments and conservationist organizations, helping them utilize social media for protecting wildlife.

Suggested Citation

  • Siqing Shan & Xijie Ju & Yigang Wei & Xin Wen, 2022. "Concerned or Apathetic? Using Social Media Platform (Twitter) to Gauge the Public Awareness about Wildlife Conservation: A Case Study of the Illegal Rhino Trade," IJERPH, MDPI, vol. 19(11), pages 1-21, June.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6869-:d:831460
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    References listed on IDEAS

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    1. Robert Brulle & Jason Carmichael & J. Jenkins, 2012. "Shifting public opinion on climate change: an empirical assessment of factors influencing concern over climate change in the U.S., 2002–2010," Climatic Change, Springer, vol. 114(2), pages 169-188, September.
    2. Noha Alnazzawi, 2022. "Using Twitter to Detect Hate Crimes and Their Motivations: The HateMotiv Corpus," Data, MDPI, vol. 7(6), pages 1-10, May.
    3. Timothy C Haas & Sam M Ferreira, 2016. "Combating Rhino Horn Trafficking: The Need to Disrupt Criminal Networks," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-26, November.
    4. Douglas J. Crookes & James N. Blignaut, 2015. "Debunking the myth that a legal trade will solve the rhino horn crisis: A system dynamics model for market demand," Working Papers 520, Economic Research Southern Africa.
    5. Dang Vu, Hoai Nam & Nielsen, Martin Reinhardt & Jacobsen, Jette Bredahl, 2022. "Conserving rhinos by legal trade: Insights from a choice experiment with rhino horn consumers," Ecological Economics, Elsevier, vol. 193(C).
    6. Siqing Shan & Xijie Ju & Yigang Wei & Zijin Wang, 2021. "Effects of PM 2.5 on People’s Emotion: A Case Study of Weibo (Chinese Twitter) in Beijing," IJERPH, MDPI, vol. 18(10), pages 1-21, May.
    7. John Chung-En Liu & Bo Zhao, 2017. "Who speaks for climate change in China? Evidence from Weibo," Climatic Change, Springer, vol. 140(3), pages 413-422, February.
    8. Ragini, J. Rexiline & Anand, P.M. Rubesh & Bhaskar, Vidhyacharan, 2018. "Big data analytics for disaster response and recovery through sentiment analysis," International Journal of Information Management, Elsevier, vol. 42(C), pages 13-24.
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