Spatio-temporal patterns of disaster impact and recovery in YouTube content
This study investigates the utilization of YouTube as a data source in crisis management, focusing on human behavior during a tornado event in the Southern Moravia Region, Czech Republic, in 2021. Utilizing YouTube's Data API, we harvested video metadata and content to explore spatio-temporal p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | International Journal of Digital Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17538947.2024.2426518 |
| _version_ | 1826980256659013632 |
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| author | Jiří Hladík Lukáš Herman Dajana Snopková Milan Konečný |
| author_facet | Jiří Hladík Lukáš Herman Dajana Snopková Milan Konečný |
| author_sort | Jiří Hladík |
| collection | DOAJ |
| description | This study investigates the utilization of YouTube as a data source in crisis management, focusing on human behavior during a tornado event in the Southern Moravia Region, Czech Republic, in 2021. Utilizing YouTube's Data API, we harvested video metadata and content to explore spatio-temporal patterns in disaster impact and recovery. Our analysis reveals how YouTube content reflects the immediate and long-term responses to the disaster, offering insights into community reactions, damage extent, and recovery processes. By integrating automated and manual content analysis, we uniquely demonstrate YouTube's potential in enhancing spatial analyses and visualizations for disaster management. This research underscores the value of social media data in providing multiple perspectives on human behavior during and after disaster, contributing to a nuanced understanding of disaster impact and community resilience. |
| first_indexed | 2025-02-18T05:42:22Z |
| format | Article |
| id | doaj.art-27c9fc86c79c43ce8ba161df563615b2 |
| institution | Directory Open Access Journal |
| issn | 1753-8947 1753-8955 |
| language | English |
| last_indexed | 2025-02-18T05:42:22Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Digital Earth |
| spelling | doaj.art-27c9fc86c79c43ce8ba161df563615b22024-11-14T06:33:47ZengTaylor & Francis GroupInternational Journal of Digital Earth1753-89471753-89552024-12-0117112310.1080/17538947.2024.2426518Spatio-temporal patterns of disaster impact and recovery in YouTube contentJiří Hladík0Lukáš Herman1Dajana Snopková2Milan Konečný3Department of Geography, Faculty of Science, Masaryk University, Brno, Czech RepublicDepartment of Geography, Faculty of Science, Masaryk University, Brno, Czech RepublicDepartment of Geography, Faculty of Science, Masaryk University, Brno, Czech RepublicDepartment of Geography, Faculty of Science, Masaryk University, Brno, Czech RepublicThis study investigates the utilization of YouTube as a data source in crisis management, focusing on human behavior during a tornado event in the Southern Moravia Region, Czech Republic, in 2021. Utilizing YouTube's Data API, we harvested video metadata and content to explore spatio-temporal patterns in disaster impact and recovery. Our analysis reveals how YouTube content reflects the immediate and long-term responses to the disaster, offering insights into community reactions, damage extent, and recovery processes. By integrating automated and manual content analysis, we uniquely demonstrate YouTube's potential in enhancing spatial analyses and visualizations for disaster management. This research underscores the value of social media data in providing multiple perspectives on human behavior during and after disaster, contributing to a nuanced understanding of disaster impact and community resilience.https://www.tandfonline.com/doi/10.1080/17538947.2024.2426518Social mediaYouTubedisastertornadoAPI |
| spellingShingle | Jiří Hladík Lukáš Herman Dajana Snopková Milan Konečný Spatio-temporal patterns of disaster impact and recovery in YouTube content International Journal of Digital Earth Social media YouTube disaster tornado API |
| title | Spatio-temporal patterns of disaster impact and recovery in YouTube content |
| title_full | Spatio-temporal patterns of disaster impact and recovery in YouTube content |
| title_fullStr | Spatio-temporal patterns of disaster impact and recovery in YouTube content |
| title_full_unstemmed | Spatio-temporal patterns of disaster impact and recovery in YouTube content |
| title_short | Spatio-temporal patterns of disaster impact and recovery in YouTube content |
| title_sort | spatio temporal patterns of disaster impact and recovery in youtube content |
| topic | Social media YouTube disaster tornado API |
| url | https://www.tandfonline.com/doi/10.1080/17538947.2024.2426518 |
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