Examining disaster resilience perception of social media users during the billion-dollar hurricanes
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 701–727 |
Journal / Publication | Natural Hazards |
Volume | 120 |
Online published | 9 Oct 2023 |
Publication status | Published - Jan 2024 |
Link(s)
Abstract
This study investigates disaster resilience during major hurricane events by analyzing Twitter data. The study focuses on resilience-relevant tweets during major hurricanes from 2013 to 2020 in the USA that caused over 1 billion dollars in losses. The study explores variations in resilience perceptions across different racial, gender, and political groups, as well as the sentiment expressed in tweets during different phases of the disaster. Additionally, the study examines the alignment of Twitter discussions with the actual phases of the disasters from a spatiotemporal perspective. The findings highlight disparities in resilience perception among racial and gender groups, emphasizing the need for targeted approaches to promote inclusivity and equity in disaster resilience efforts. The importance of early awareness and preparedness is underscored, suggesting the significance of investing in forecasting and early alert systems to reduce the impact of disasters. © The Author(s), under exclusive licence to Springer Nature B.V. 2023
Research Area(s)
- Disaster management, Resilience perception, Social media, Text mining
Citation Format(s)
Examining disaster resilience perception of social media users during the billion-dollar hurricanes. / Zhai, Wei; Hu, Wanyang; Yuan, Zhihang et al.
In: Natural Hazards, Vol. 120, 01.2024, p. 701–727.
In: Natural Hazards, Vol. 120, 01.2024, p. 701–727.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review