Social media for intelligent public information and warning in disasters: An interdisciplinary review

C Zhang, C Fan, W Yao, X Hu, A Mostafavi - International Journal of …, 2019 - Elsevier
Social media offers participatory and collaborative structure and collective knowledge
building capacity to the public information and warning approaches. Therefore, the author …

Social media data for environmental sustainability: A critical review of opportunities, threats, and ethical use

A Ghermandi, J Langemeyer, D Van Berkel, F Calcagni… - One Earth, 2023 - cell.com
Social media data are transforming sustainability science. However, challenges from
restrictions in data accessibility and ethical concerns regarding potential data misuse have …

Multiscale dynamic human mobility flow dataset in the US during the COVID-19 epidemic

Y Kang, S Gao, Y Liang, M Li, J Rao, J Kruse - Scientific data, 2020 - nature.com
Understanding dynamic human mobility changes and spatial interaction patterns at different
geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions …

Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages

Y Hu, G Mai, C Cundy, K Choi, N Lao… - International Journal …, 2023 - Taylor & Francis
Social media messages posted by people during natural disasters often contain important
location descriptions, such as the locations of victims. Recent research has shown that many …

Big data and disaster management: a systematic review and agenda for future research

S Akter, SF Wamba - Annals of Operations Research, 2019 - Springer
The era of big data and analytics is opening up new possibilities for disaster management
(DM). Due to its ability to visualize, analyze and predict disasters, big data is changing the …

Social media analytics for natural disaster management

Z Wang, X Ye - International Journal of Geographical Information …, 2018 - Taylor & Francis
Social media analytics has become prominent in natural disaster management. In spite of a
large variety of metadata fields in social media data, four dimensions (ie space, time, content …

Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media

Z Yan, X Guo, Z Zhao, L Tang - Sustainable Cities and Society, 2024 - Elsevier
Timely understanding of affected areas during disasters is essential for the implementation
of emergency response activities. As one of the low-cost and information-rich volunteer …

Location reference recognition from texts: A survey and comparison

X Hu, Z Zhou, H Li, Y Hu, F Gu, J Kersten, H Fan… - ACM Computing …, 2023 - dl.acm.org
A vast amount of location information exists in unstructured texts, such as social media
posts, news stories, scientific articles, web pages, travel blogs, and historical archives …

A deep multi-modal neural network for informative Twitter content classification during emergencies

A Kumar, JP Singh, YK Dwivedi, NP Rana - Annals of Operations …, 2022 - Springer
People start posting tweets containing texts, images, and videos as soon as a disaster hits
an area. The analysis of these disaster-related tweet texts, images, and videos can help …

Event classification and location prediction from tweets during disasters

JP Singh, YK Dwivedi, NP Rana, A Kumar… - Annals of Operations …, 2019 - Springer
Social media is a platform to express one's view in real time. This real time nature of social
media makes it an attractive tool for disaster management, as both victims and officials can …