Social media for enhanced understanding of disaster resilience during Hurricane Florence |
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| Affiliation: | 1. M.E. Rinker, Sr. School of Construction Management, University of Florida, Gainesville, FL 32611, USA;2. Department of Anthropology and Sociology, Western Carolina University, Cullowhee, NC 28723, USA;3. International Center for Adaptation and Design (iAdapt), School of Landscape Architecture and Planning, University of Florida, Gainesville, FL 32611, USA;1. QUT Business School, Queensland University of Technology, 2 George St, Brisbane, 4000, QLD, Australia;2. IUBH School of Business and Management, Campus Berlin, Rolandufer 13, 10179, Berlin, Germany;3. Chair of Business Information Systems, ESCP Europe Business School, Heubnerweg 8-10, 14059, Berlin, Germany;1. School of Information, Renmin University of China, Beijing, 100872, China;2. School of Tourism Science, Beijing International Studies University, Beijing, 100024, China;3. Research Center of Beijing Tourism Development, Beijing, 100024, China;4. Muma College of Business, University of South Florida, Tampa, 33620, USA;1. University at Albany (SUNY), 399A School of Business, Albany, NY, 12222, USA;2. University of Tennessee at Knoxville, School of Information Sciences, 444 Communications Building, Knoxville, TN, USA;3. Development Management Institute, 5th Floor, Gandhi Maidan, Patna, Bihar, India;1. Bloch School of Management, University of Missouri—Kansas City, 5110 Cherry St, Kansas City, MO 64110, USA;2. Area of Information Systems and Quantitative Sciences, Texas Tech University, 703 Flint Avenue, Lubbock, TX 79409, USA;3. Department of Economics, The University of Kansas, 415 Snow Hall, 1460 Jayhawk Blvd, Lawrence, KS 66045, USA;1. M.E. Rinker, Sr. School of Construction Management, University of Florida, Gainesville, FL 32611, USA;2. Department of Geography, University of Florida, Gainesville, FL 32611, USA;3. Department of Anthropology and Sociology, Western Carolina University, Cullowhee, NC 28723, USA |
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| Abstract: | Citizens with different demographic characters presented varying responses and behaviors in the same disasters. Their divergent responses can impact their actual damages during crises. Previous studies have employed social media for analyzing citizens’ crisis responses. However, these studies missed the demographic dimension. To resolve this limitation, this research proposes three objectives: 1) to explore the variances of sentiment polarities among different racial/ethnic and gender groups; 2) to investigate the concern themes in their expressions, including theme popularity and their sentiment towards these themes; 3) to enhance the understanding of social aspects of disaster resilience with the results of disaster response disparities. Results indicate that Hispanic and male groups are more likely to express negative sentiment. The black group pays the least attention to ‘hurricane warn’ and shows most interests in ‘pray/donate’. The white group is most optimistic about hurricane/flood impacts while the black group shows dissatisfaction towards ‘response’. The female group pays less attention to ‘hurricane warn’ while they are more optimistic towards ‘hurricane/flood impact’ and ‘response’ than the male group. Our findings can help crisis response managers identify the more sensitive/vulnerable groups in the crisis and provide on-target disaster evolution reports and relief resources to the corresponding demographic groups. |
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| Keywords: | Disaster resilience Social media Sentiment analysis Data mining LDA topic model Situation awareness |
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