Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires

David Hanny; Sebastian Schmidt; Bernd Resch

doi:10.1007/s42001-025-00448-x

Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires

David Hanny
, Sebastian Schmidt
, Bernd Resch

Geoinformatics

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Journal of Computational Social Science
Volume	9
Issue number	16
DOIs	https://doi.org/10.1007/s42001-025-00448-x
Publication status	Published - 19 Dec 2025

Fields of Science and Technology Classification 2012

509 Other Social Sciences

Access to Document

10.1007/s42001-025-00448-x

Cite this

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title = "Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires",

author = "David Hanny and Sebastian Schmidt and Bernd Resch",

year = "2025",

month = dec,

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doi = "10.1007/s42001-025-00448-x",

language = "English",

volume = "9",

number = "16",

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T1 - Bluesky as a social media data source for disaster management: investigating spatio-temporal, semantic and emotional patterns for floods and wildfires

AU - Hanny, David

AU - Schmidt, Sebastian

AU - Resch, Bernd

PY - 2025/12/19

Y1 - 2025/12/19

U2 - 10.1007/s42001-025-00448-x

DO - 10.1007/s42001-025-00448-x

M3 - Article

SN - 2432-2725

VL - 9

JO - Journal of Computational Social Science

JF - Journal of Computational Social Science

IS - 16

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