Citations (15)
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Read on this site (4)
Kejin Wang, Nina S. N. Lam & Volodymyr Mihunov. (2023) Correlating Twitter Use with Disaster Resilience at Two Spatial Scales: A Case Study of Hurricane Sandy. Annals of GIS 29:1, pages 1-20.
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Katerina Tzavella, Andriani Skopeliti & Alexander Fekete. (2022) Volunteered geographic information use in crisis, emergency and disaster management: a scoping review and a web atlas. Geo-spatial Information Science 0:0, pages 1-32.
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Wei Zhai, Hang Yu & Céline Yunya Song. Disaster Misinformation and Its Corrections on Social Media: Spatiotemporal Proximity, Social Network, and Sentiment Contagion. Annals of the American Association of Geographers 0:0, pages 1-28.
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Jomon A. Paul, Minjiao Zhang, Muer Yang & Chong Xu. Improving disaster relief plans for hurricanes with social media. Journal of the Operational Research Society 0:0, pages 1-14.
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Articles from other publishers (11)
Arya Hadizadeh Moghaddam & Saeedeh Momtazi. (2023) A semantic modular framework for events topic modeling in social media. Multimedia Tools and Applications.
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Andy Edinger, Danny Valdez, Eric Walsh-Buhi, Jennifer S Trueblood, Lorenzo Lorenzo-Luaces, Lauren A Rutter & Johan Bollen. (2023) Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning. Journal of Medical Internet Research 25, pages e43841.
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Sulong Zhou, Pengyu Kan, Qunying Huang & Janet Silbernagel. (2021) A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura. Journal of Information Science 49:2, pages 465-479.
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Vineetha Menon, Kristin Weger, Bryan Mesmer & Sampson Gholston. (2022) Using Big Data Analytics for Sentiment Analysis to Explore Team Communication Dynamics in Human Machine Interactions for Team Situational Awareness. Using Big Data Analytics for Sentiment Analysis to Explore Team Communication Dynamics in Human Machine Interactions for Team Situational Awareness.
Yuto OIKAWA, Michal PTASZYNSKI & Fumito MASUI. (2022) AI Training for Thunderstorm Training: Better Situational Awareness for Disaster Tweets Using Context and Emotions. AI Training for Thunderstorm Training: Better Situational Awareness for Disaster Tweets Using Context and Emotions.
Ramian Fathi & Frank Fiedrich. (2022) Social Media Analytics by Virtual Operations Support Teams in disaster management: Situational awareness and actionable information for decision-makers. Frontiers in Earth Science 10.
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Sheng Huang, Yunyan Du, Jiawei Yi, Fuyuan Liang, Jiale Qian, Nan Wang & Wenna Tu. (2022) Understanding Human Activities in Response to Typhoon Hato from Multi-Source Geospatial Big Data: A Case Study in Guangdong, China. Remote Sensing 14:5, pages 1269.
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Shi Shen, Junwang Huang, Changxiu Cheng, Ting Zhang, Nikita Murzintcev & Peichao Gao. (2021) Spatiotemporal Evolution of the Online Social Network after a Natural Disaster. ISPRS International Journal of Geo-Information 10:11, pages 744.
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Rainer Simon, Drazen Ignjatovic, Georg Neubauer, Clemens Gutschi, Johannes Pan & Siegfried Vossner. (2021) Applying data mining techniques in the context of social media to improve situational awareness at large-scale events. Applying data mining techniques in the context of social media to improve situational awareness at large-scale events.
Zhiqiang Zou, Hongyu Gan, Qunying Huang, Tianhui Cai & Kai Cao. (2021) Disaster Image Classification by Fusing Multimodal Social Media Data. ISPRS International Journal of Geo-Information 10:10, pages 636.
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Bernadette Joy Detera, Akira Kodaka, Naohiko Kohtake, Akihiko Nishino & Kaya Onda. (2021) An English-Japanese Twitter-Based Analysis of Disaster Sentiment during Typhoons and Earthquakes. An English-Japanese Twitter-Based Analysis of Disaster Sentiment during Typhoons and Earthquakes.