IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i10p5292-d555665.html
   My bibliography  Save this article

Space-Time Dependence of Emotions on Twitter after a Natural Disaster

Author

Listed:
  • Sonja I. Garske

    (State Office of Health and Social Affairs, 10639 Berlin, Germany)

  • Suzanne Elayan

    (Centre for Information Management, Loughborough University, Leicestershire LE11 3TU, UK)

  • Martin Sykora

    (Centre for Information Management, Loughborough University, Leicestershire LE11 3TU, UK)

  • Tamar Edry

    (Department of Geography, University of Zurich, 8057 Zurich, Switzerland)

  • Linus B. Grabenhenrich

    (Department for Methodology and Research Infrastructure, Robert Koch-Institut, 13359 Berlin, Germany
    Department of Dermatology, Venerology and Allergology, Charité—Universitätsmedizin Berlin, 10117 Berlin, Germany)

  • Sandro Galea

    (School of Public Health, Boston University, Boston, MA 02118, USA)

  • Sarah R. Lowe

    (Department of Social & Behavioral Sciences, Yale School of Public Health, New Haven, CT 06510, USA)

  • Oliver Gruebner

    (Department of Geography, University of Zurich, 8057 Zurich, Switzerland
    Epidemiology, Biostatistics and Prevention Institute, University of Zurich, 8001 Zurich, Switzerland)

Abstract

Natural disasters can have significant consequences for population mental health. Using a digital spatial epidemiologic approach, this study documents emotional changes over space and time in the context of a large-scale disaster. Our aims were to (a) explore the spatial distribution of negative emotional expressions of Twitter users before, during, and after Superstorm Sandy in New York City (NYC) in 2012 and (b) examine potential correlations between socioeconomic status and infrastructural damage with negative emotional expressions across NYC census tracts over time. A total of 984,311 geo-referenced tweets with negative basic emotions (anger, disgust, fear, sadness, shame) were collected and assigned to the census tracts within NYC boroughs between 8 October and 18 November 2012. Global and local univariate and bivariate Moran’s I statistics were used to analyze the data. We found local spatial clusters of all negative emotions over all disaster periods. Socioeconomic status and infrastructural damage were predominantly correlated with disgust, fear, and shame post-disaster. We identified spatial clusters of emotional reactions during and in the aftermath of a large-scale disaster that could help provide guidance about where immediate and long-term relief measures are needed the most, if transferred to similar events and on comparable data worldwide.

Suggested Citation

  • Sonja I. Garske & Suzanne Elayan & Martin Sykora & Tamar Edry & Linus B. Grabenhenrich & Sandro Galea & Sarah R. Lowe & Oliver Gruebner, 2021. "Space-Time Dependence of Emotions on Twitter after a Natural Disaster," IJERPH, MDPI, vol. 18(10), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:10:p:5292-:d:555665
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/10/5292/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/10/5292/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yury Kryvasheyeu & Haohui Chen & Esteban Moro & Pascal Van Hentenryck & Manuel Cebrian, 2015. "Performance of Social Network Sensors during Hurricane Sandy," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-19, February.
    2. Lowe, Sarah R. & Joshi, Spruha & Pietrzak, Robert H. & Galea, Sandro & Cerdá, Magdalena, 2015. "Mental health and general wellness in the aftermath of Hurricane Ike," Social Science & Medicine, Elsevier, vol. 124(C), pages 162-170.
    3. Dajun Dai & Ruixue Wang, 2020. "Space-Time Surveillance of Negative Emotions after Consecutive Terrorist Attacks in London," IJERPH, MDPI, vol. 17(11), pages 1-15, June.
    4. Sinnenberg, L. & Buttenheim, A.M. & Padrez, K. & Mancheno, C. & Ungar, L. & Merchant, R.M., 2017. "Twitter as a tool for health research: A systematic review," American Journal of Public Health, American Public Health Association, vol. 107(1), pages 1-8.
    5. Yan Wang & John E. Taylor, 2018. "Coupling sentiment and human mobility in natural disasters: a Twitter-based study of the 2014 South Napa Earthquake," 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. 92(2), pages 907-925, June.
    6. Oliver Gruebner & Sarah R. Lowe & Martin Sykora & Ketan Shankardass & SV Subramanian & Sandro Galea, 2018. "Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media," IJERPH, MDPI, vol. 15(10), pages 1-12, October.
    7. Sarah R Lowe & Laura Sampson & Oliver Gruebner & Sandro Galea, 2015. "Psychological Resilience after Hurricane Sandy: The Influence of Individual- and Community-Level Factors on Mental Health after a Large-Scale Natural Disaster," PLOS ONE, Public Library of Science, vol. 10(5), pages 1-15, May.
    8. repec:aph:ajpbhl:10.2105/ajph.2016.303512_4 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joel Oommen George & Suzanne Elayan & Martin Sykora & Marin Solter & Rob Feick & Christopher Hewitt & Yiqiao Liu & Ketan Shankardass, 2023. "The Role of Social Media in Building Pandemic Resilience in an Urban Community: A Qualitative Case Study," IJERPH, MDPI, vol. 20(17), pages 1-18, September.
    2. Lennart Reifels & Michel L. A. Dückers, 2023. "Disaster Mental Health Risk Reduction: Appraising Disaster Mental Health Research as If Risk Mattered," IJERPH, MDPI, vol. 20(11), pages 1-14, May.
    3. Shi Shen & Ke Shi & Junwang Huang & Changxiu Cheng & Min Zhao, 2023. "Global online social response to a natural disaster and its influencing factors: a case study of Typhoon Haiyan," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    4. Meijie Chu & Wentao Song & Zeyu Zhao & Tianmu Chen & Yi-chen Chiang, 2024. "Emotional contagion on social media and the simulation of intervention strategies after a disaster event: a modeling study," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    5. Seungil Yum, 2023. "Analyses of human responses to Winter storm Kai using the GWR model," 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(2), pages 1805-1821, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Amir Haghighati & Kamran Sedig, 2020. "VARTTA: A Visual Analytics System for Making Sense of Real-Time Twitter Data," Data, MDPI, vol. 5(1), pages 1-25, February.
    2. Rebecca M. Schwartz & Christina N. Gillezeau & Bian Liu & Wil Lieberman-Cribbin & Emanuela Taioli, 2017. "Longitudinal Impact of Hurricane Sandy Exposure on Mental Health Symptoms," IJERPH, MDPI, vol. 14(9), pages 1-12, August.
    3. Luis-Millán González & José Devís-Devís & Maite Pellicer-Chenoll & Miquel Pans & Alberto Pardo-Ibañez & Xavier García-Massó & Fernanda Peset & Fernanda Garzón-Farinós & Víctor Pérez-Samaniego, 2021. "The Impact of COVID-19 on Sport in Twitter: A Quantitative and Qualitative Content Analysis," IJERPH, MDPI, vol. 18(9), pages 1-20, April.
    4. Zhijie Sasha Dong & Lingyu Meng & Lauren Christenson & Lawrence Fulton, 2021. "Social media information sharing for natural disaster response," 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. 107(3), pages 2077-2104, July.
    5. Dajun Dai & Ruixue Wang, 2020. "Space-Time Surveillance of Negative Emotions after Consecutive Terrorist Attacks in London," IJERPH, MDPI, vol. 17(11), pages 1-15, June.
    6. Rachel Samuels & Jiajia Xie & Neda Mohammadi & John E. Taylor, 2022. "Tipping the scales: how geographical scale affects the interpretation of social media behavior in crisis research," 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. 112(1), pages 545-564, May.
    7. Anni Arumsari Fitriany & Piotr J. Flatau & Khoirunurrofik Khoirunurrofik & Nelly Florida Riama, 2021. "Assessment on the Use of Meteorological and Social Media Information for Forest Fire Detection and Prediction in Riau, Indonesia," Sustainability, MDPI, vol. 13(20), pages 1-13, October.
    8. Guangyu Hu & Xueyan Han & Huixuan Zhou & Yuanli Liu, 2019. "Public Perception on Healthcare Services: Evidence from Social Media Platforms in China," IJERPH, MDPI, vol. 16(7), pages 1-10, April.
    9. Rachel Samuels & John E. Taylor & Neda Mohammadi, 2020. "Silence of the Tweets: incorporating social media activity drop-offs into crisis detection," 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. 103(1), pages 1455-1477, August.
    10. Gallagher, H. Colin & Block, Karen & Gibbs, Lisa & Forbes, David & Lusher, Dean & Molyneaux, Robyn & Richardson, John & Pattison, Philippa & MacDougall, Colin & Bryant, Richard A., 2019. "The effect of group involvement on post-disaster mental health: A longitudinal multilevel analysis," Social Science & Medicine, Elsevier, vol. 220(C), pages 167-175.
    11. Shi Shen & Ke Shi & Junwang Huang & Changxiu Cheng & Min Zhao, 2023. "Global online social response to a natural disaster and its influencing factors: a case study of Typhoon Haiyan," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-15, December.
    12. Umar Ali Bukar & Fatimah Sidi & Marzanah A. Jabar & Rozi Nor Haizan Nor & Salfarina Abdullah & Iskandar Ishak & Mustafa Alabadla & Ali Alkhalifah, 2022. "How Advanced Technological Approaches Are Reshaping Sustainable Social Media Crisis Management and Communication: A Systematic Review," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    13. Dong, Bing & Liu, Yapan & Fontenot, Hannah & Ouf, Mohamed & Osman, Mohamed & Chong, Adrian & Qin, Shuxu & Salim, Flora & Xue, Hao & Yan, Da & Jin, Yuan & Han, Mengjie & Zhang, Xingxing & Azar, Elie & , 2021. "Occupant behavior modeling methods for resilient building design, operation and policy at urban scale: A review," Applied Energy, Elsevier, vol. 293(C).
    14. Lutz Bornmann & Robin Haunschild & Vanash M Patel, 2020. "Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    15. Ran, Liuyi & Wang, Wo & Ai, Ming & Kong, Yiting & Chen, Jianmei & Kuang, Li, 2020. "Psychological resilience, depression, anxiety, and somatization symptoms in response to COVID-19: A study of the general population in China at the peak of its epidemic," Social Science & Medicine, Elsevier, vol. 262(C).
    16. Jiangmei Xiong & Yulin Hswen & John A. Naslund, 2020. "Digital Surveillance for Monitoring Environmental Health Threats: A Case Study Capturing Public Opinion from Twitter about the 2019 Chennai Water Crisis," IJERPH, MDPI, vol. 17(14), pages 1-15, July.
    17. Muhammad Imran & Umair Qazi & Ferda Ofli, 2022. "TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels," Data, MDPI, vol. 7(1), pages 1-27, January.
    18. Kevin M. Fitzpatrick & Don E. Willis & Matthew L. Spialek & Emily English, 2020. "Food Insecurity in the Post-Hurricane Harvey Setting: Risks and Resources in the Midst of Uncertainty," IJERPH, MDPI, vol. 17(22), pages 1-16, November.
    19. Ahmadiani, Mona & Ferreira, Susana, 2021. "Well-being effects of extreme weather events in the United States," Resource and Energy Economics, Elsevier, vol. 64(C).
    20. Takahiro Yabe & P. Suresh C. Rao & Satish V. Ukkusuri, 2021. "Modeling the Influence of Online Social Media Information on Post-Disaster Mobility Decisions," Sustainability, MDPI, vol. 13(9), pages 1-13, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:10:p:5292-:d:555665. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.