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Responses to heat waves: what can Twitter data tell us?

Author

Listed:
  • Kerstin K. Zander

    (Charles Darwin University)

  • Jonas Rieskamp

    (Paderborn University)

  • Milad Mirbabaie

    (Paderborn University)

  • Mamoun Alazab

    (Charles Darwin University)

  • Duy Nguyen

    (Charles Darwin University)

Abstract

Increasing average temperatures and heat waves are having devasting impacts on human health and well-being but studies of heat impacts and how people adapt are rare and often confined to specific locations. In this study, we explore how analysis of conversations on social media can be used to understand how people feel about heat waves and how they respond. We collected global Twitter data over four months (from January to April 2022) using predefined hashtags about heat waves. Topic modelling identified five topics. The largest (one-third of all tweets) was related to sports events. The remaining two-thirds could be allocated to four topics connected to communication about climate-related heat or heat waves. Two of these were on the impacts of heat and heat waves (health impacts 20%; social impacts 16%), one was on extreme weather and climate change attribution (17%) and the last one was on perceptions and warning (13%). The number of tweets in each week corresponded well with major heat wave occurrences in Argentina, Australia, the USA and South Asia (India and Pakistan), indicating that people posting tweets were aware of the threat from heat and its impacts on the society. Among the words frequently used within the topic ‘Social impacts’ were ‘air-conditioning’ and ‘electricity’, suggesting links between coping strategies and financial pressure. Apart from analysing the content of tweets, new insights were also obtained from analysing how people engaged with Twitter tweets about heat or heat waves. We found that tweets posted early, and which were then shared by other influential Twitter users, were among the most popular. Finally, we found that the most popular tweets belonged to individual scientists or respected news outlets, with no evidence that misinformation about climate change-related heat is widespread.

Suggested Citation

  • Kerstin K. Zander & Jonas Rieskamp & Milad Mirbabaie & Mamoun Alazab & Duy Nguyen, 2023. "Responses to heat waves: what can Twitter data tell us?," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(3), pages 3547-3564, April.
  • Handle: RePEc:spr:nathaz:v:116:y:2023:i:3:d:10.1007_s11069-023-05824-2
    DOI: 10.1007/s11069-023-05824-2
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    References listed on IDEAS

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    1. Kerstin K. Zander & Supriya Mathew & Stephen T. Garnett, 2018. "Exploring Heat Stress Relief Measures among the Australian Labour Force," IJERPH, MDPI, vol. 15(3), pages 1-15, February.
    2. A. M. Vicedo-Cabrera & N. Scovronick & F. Sera & D. Royé & R. Schneider & A. Tobias & C. Astrom & Y. Guo & Y. Honda & D. M. Hondula & R. Abrutzky & S. Tong & M. de Sousa Zanotti Stagliorio Coelho & P., 2021. "The burden of heat-related mortality attributable to recent human-induced climate change," Nature Climate Change, Nature, vol. 11(6), pages 492-500, June.
    3. Wim Kellens & Ruud Zaalberg & Tijs Neutens & Wouter Vanneuville & Philippe De Maeyer, 2011. "An Analysis of the Public Perception of Flood Risk on the Belgian Coast," Risk Analysis, John Wiley & Sons, vol. 31(7), pages 1055-1068, July.
    4. Simon, Tomer & Goldberg, Avishay & Adini, Bruria, 2015. "Socializing in emergencies—A review of the use of social media in emergency situations," International Journal of Information Management, Elsevier, vol. 35(5), pages 609-619.
    5. Sabrina Katharina Beckmann & Michael Hiete & Michael Schneider & Christoph Beck, 2021. "Heat adaptation measures in private households: an application and adaptation of the protective action decision model," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-12, December.
    6. Zheye Wang & Xinyue Ye & Ming-Hsiang Tsou, 2016. "Spatial, temporal, and content analysis of Twitter for wildfire hazards," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(1), pages 523-540, August.
    7. Babak Abedin & Abdul Babar, 2018. "Institutional vs. Non-institutional use of Social Media during Emergency Response: A Case of Twitter in 2014 Australian Bush Fire," Information Systems Frontiers, Springer, vol. 20(4), pages 729-740, August.
    8. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    9. Kerstin K. Zander & Wouter J. W. Botzen & Elspeth Oppermann & Tord Kjellstrom & Stephen T. Garnett, 2015. "Heat stress causes substantial labour productivity loss in Australia," Nature Climate Change, Nature, vol. 5(7), pages 647-651, July.
    10. Cattaneo, Cristina & Peri, Giovanni, 2016. "The migration response to increasing temperatures," Journal of Development Economics, Elsevier, vol. 122(C), pages 127-146.
    11. 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.
    12. Son, Jaebong & Lee, Hyung Koo & Jin, Sung & Lee, Jintae, 2019. "Content features of tweets for effective communication during disasters: A media synchronicity theory perspective," International Journal of Information Management, Elsevier, vol. 45(C), pages 56-68.
    13. Francesca Cecinati & Tom Matthews & Sukumar Natarajan & Nick McCullen & David Coley, 2019. "Mining Social Media to Identify Heat Waves," IJERPH, MDPI, vol. 16(5), pages 1-19, March.
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    1. Kerstin Katharina Zander & Duy Nguyen & Stephen Thomas Garnett, 2025. "A decade of German heatwave data reveals shift in local impact perception," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 30(5), pages 1-26, June.

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