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Enhanced earthquake impact analysis based on social media texts via large language model

Bibliographic Data

ID22029317
AuthorsJin Han (0000-0001-7624-9468, Tsinghua University), Zhe Zheng (0000-0003-2822-7568, Tsinghua University), Xinzheng Lu (0000-0002-3313-7420, Tsinghua University), Ke-Yin Chen, Keyin Chen (0009-0005-3099-3722, Tsinghua University), Jia‐Rui Lin (0000-0003-2195-8675, Ministry of Housing and Urban-Rural Development, corresponding author)
Year2024
Volume109
Pages104574
Publication date2024-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Disaster Risk Reduction (JOURNAL)
Journal identifiersISSN: 2212-4209
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.ijdrr.2024.104574
OpenAlexW4396912855
LanguageEN
Citations received6
References cited33

Natural language processing · Seismology · Social media · World Wide Web · Computer Science · Earthquake Detection and Analysis · Public Relations and Crisis Communication · Seismology and Earthquake Studies · Geology

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    Open Access•Ziyao Xing, Xiaodong Zhang et al.•International Journal of Disaster…•2021

  • Rapid assessment of seismic intensity based on Sina Weibo — A case study of the changning earthquake in Sichuan Province, China

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  • Mining Twitter Data for Improved Understanding of Disaster Resilience

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Unique citing works6
Citations per year6
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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