Spatio-temporal patterns of disaster impact and recovery in
YouTube content

J 2024

Spatio-temporal patterns of disaster impact and recovery in YouTube content

HLADÍK, Jiří; Lukáš HERMAN; Dajana SNOPKOVÁ a Milan KONEČNÝ

Základní údaje

Originální název

Spatio-temporal patterns of disaster impact and recovery in YouTube content

Autoři

HLADÍK, Jiří; Lukáš HERMAN; Dajana SNOPKOVÁ a Milan KONEČNÝ

Vydání

International Journal of Digital Earth, Taylor and Francis Ltd. 2024, 1753-8947

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10508 Physical geography

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

online verze článku

Impakt faktor

Impact factor: 4.900

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14310/24:00137641

Organizační jednotka

Přírodovědecká fakulta

Klíčová slova anglicky

social media; YouTube; disaster; tornado; API

Štítky

14315030, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 7. 1. 2025 14:09, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

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.

Návaznosti

MUNI/A/1469/2023, interní kód MU

Název: Geografický výzkum společenských a přírodních procesů v období změn

Investor: Masarykova univerzita, Geografický výzkum společenských a přírodních procesů v období změn

Citovat

HLADÍK, Jiří; Lukáš HERMAN; Dajana SNOPKOVÁ a Milan KONEČNÝ. Spatio-temporal patterns of disaster impact and recovery in YouTube content. International Journal of Digital Earth. Taylor and Francis Ltd., 2024, roč. 17, č. 1, s. 1-23. ISSN 1753-8947. Dostupné z: https://doi.org/10.1080/17538947.2024.2426518.

@article{2451897,
   author = {Hladík, Jiří and Herman, Lukáš and Snopková, Dajana and Konečný, Milan},
   article_number = {1},
   doi = {https://doi.org/10.1080/17538947.2024.2426518},
   keywords = {social media; YouTube; disaster; tornado; API},
   language = {eng},
   issn = {1753-8947},
   journal = {International Journal of Digital Earth},
   title = {Spatio-temporal patterns of disaster impact and recovery in YouTube content},
   url = {https://www.tandfonline.com/doi/full/10.1080/17538947.2024.2426518},
   volume = {17},
   year = {2024}
}

TY  - JOUR
ID  - 2451897
AU  - Hladík, Jiří - Herman, Lukáš - Snopková, Dajana - Konečný, Milan
PY  - 2024
TI  - Spatio-temporal patterns of disaster impact and recovery in YouTube content
JF  - International Journal of Digital Earth
VL  - 17
IS  - 1
SP  - 1-23
EP  - 1-23
PB  - Taylor and Francis Ltd.
SN  - 17538947
KW  - social media
KW  - YouTube
KW  - disaster
KW  - tornado
KW  - API
UR  - https://www.tandfonline.com/doi/full/10.1080/17538947.2024.2426518
N2  - 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.
ER  -

HLADÍK, Jiří; Lukáš HERMAN; Dajana SNOPKOVÁ a Milan KONEČNÝ. Spatio-temporal patterns of disaster impact and recovery in YouTube content. \textit{International Journal of Digital Earth}. Taylor and Francis Ltd., 2024, roč.~17, č.~1, s.~1-23. ISSN~1753-8947. Dostupné z: https://doi.org/10.1080/17538947.2024.2426518.

Přehled o publikaci