Spatio-temporal patterns of disaster impact and recovery in YouTube content Article Swipe
Jiří Hladík
,
Lukáš Heřman
,
Dajana Snopková
,
Milan Konečný
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1080/17538947.2024.2426518
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1080/17538947.2024.2426518
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.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1080/17538947.2024.2426518
- https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2426518?needAccess=true
- OA Status
- gold
- Cited By
- 1
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404363946
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4404363946Canonical identifier for this work in OpenAlex
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https://doi.org/10.1080/17538947.2024.2426518Digital Object Identifier
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Spatio-temporal patterns of disaster impact and recovery in YouTube contentWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-11-13Full publication date if available
- Authors
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Jiří Hladík, Lukáš Heřman, Dajana Snopková, Milan KonečnýList of authors in order
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https://doi.org/10.1080/17538947.2024.2426518Publisher landing page
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https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2426518?needAccess=trueDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.tandfonline.com/doi/pdf/10.1080/17538947.2024.2426518?needAccess=trueDirect OA link when available
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Geography, Content (measure theory), Computer science, Cartography, Data science, Mathematics, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.disaster, | 64, 115 |
| abstract_inverted_index.enhancing | 88 |
| abstract_inverted_index.harvested | 36 |
| abstract_inverted_index.immediate | 58 |
| abstract_inverted_index.long-term | 60 |
| abstract_inverted_index.potential | 86 |
| abstract_inverted_index.providing | 106 |
| abstract_inverted_index.recovery. | 49 |
| abstract_inverted_index.responses | 61 |
| abstract_inverted_index.processes. | 74 |
| abstract_inverted_index.reactions, | 69 |
| abstract_inverted_index.demonstrate | 84 |
| abstract_inverted_index.integrating | 76 |
| abstract_inverted_index.management, | 13 |
| abstract_inverted_index.management. | 95 |
| abstract_inverted_index.resilience. | 126 |
| abstract_inverted_index.underscores | 98 |
| abstract_inverted_index.utilization | 4 |
| abstract_inverted_index.contributing | 116 |
| abstract_inverted_index.investigates | 2 |
| abstract_inverted_index.perspectives | 108 |
| abstract_inverted_index.understanding | 120 |
| abstract_inverted_index.visualizations | 92 |
| abstract_inverted_index.spatio-temporal | 43 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| corresponding_author_ids | https://openalex.org/A5047669651 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I21449261 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.8100000023841858 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.83050245 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |