2023
DOI: 10.1016/j.crm.2023.100480
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Toward reduction of detrimental effects of hurricanes using a social media data analytic Approach: How climate change is perceived?

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Cited by 8 publications
(6 citation statements)
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“…Where sufficient good‐quality data are available, data‐driven or data analytic methods would be able to provide information about coastal flood hazards or hazard risk awareness at a relatively low computational cost (Hamdi et al., 2014; Karimiziarani et al., 2022, 2023; Pollar et al., 2018). While the majority of statistical methods for coastal flood assessment are based on the extreme value theorem (Caruso & Marani, 2022; Hamdi et al., 2014), some recent studies have proposed mixed distribution or meta‐statistical approaches (Ghanbari et al., 2019; Miniussi et al., 2020).…”
Section: Coastal Floodmentioning
confidence: 99%
“…Where sufficient good‐quality data are available, data‐driven or data analytic methods would be able to provide information about coastal flood hazards or hazard risk awareness at a relatively low computational cost (Hamdi et al., 2014; Karimiziarani et al., 2022, 2023; Pollar et al., 2018). While the majority of statistical methods for coastal flood assessment are based on the extreme value theorem (Caruso & Marani, 2022; Hamdi et al., 2014), some recent studies have proposed mixed distribution or meta‐statistical approaches (Ghanbari et al., 2019; Miniussi et al., 2020).…”
Section: Coastal Floodmentioning
confidence: 99%
“…While many studies have focused on the role of Social Media in improving the dissemination of critical information during crises [73] (e.g., [74]), several contributions [74][75][76][77] address the need for further research on disinformation and misinformation, pointing out a relatively limited number of studies on the topic. Indeed, exactly like in everyday life scenarios, Social Media has contributed to the creation and dissemination of false or misleading information [78,79].…”
Section: The Information Challengementioning
confidence: 99%
“…Case studies have demonstrated the effectiveness of social media analytics in hurricane response and recovery. For instance, research has showcased the use of social media data to track hurricane movements, assess damage, and coordinate relief efforts during events like Hurricane Harvey [1], [67]- [72]. Best practices in this context include real-time monitoring of social media platforms, leveraging hashtags for information retrieval, and integrating social media data into decision support systems for resource allocation [49], [73]- [78].…”
Section: A Hurricanesmentioning
confidence: 99%
“…Social media analytics have proven valuable in managing wildfires and their aftermath. Studies have highlighted the role of social media in disseminating evacuation notices, providing real-time updates on fire locations, and facilitating community support during wildfire events [1], [54], [79]- [84]. Best practices involve the use of geospatial analysis to monitor fire spread, sentiment analysis to gauge public perception, and network analysis to identify key influencers for information dissemination [85]- [92].…”
Section: B Wildfiresmentioning
confidence: 99%