The association of climate-induced stressors on risk of negative sentiment: an analysis from 462 million geotagged tweets in Europe
This study examines how climate-induced health risks influence negative sentiments on European social tweets from 2015 to 2022. Analyzing over 400 million tweets using NLP tools (NLTK, LIWC22) and spatial-temporal aggregation at the NUTS2 weekly level, we applied a Poisson generalized additive model...
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| Hauptverfasser: | , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
19 December 2025
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| In: |
iScience
Year: 2025, Jahrgang: 28, Heft: 12, Pages: 1-12 |
| ISSN: | 2589-0042 |
| DOI: | 10.1016/j.isci.2025.113933 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.isci.2025.113933 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S2589004225021947 
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| Verfasserangaben: | Tareq Al-Ahdal, Sandra Barman, Barrak Alahmad, Stella Dafka, Elisa Gallo, Joan Ballester, Mikhail Sofiev, Marina Romanello, Till Bärnighausen, Michael Gertz, and Joacim Rocklöv |
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| 245 | 1 | 4 | |a The association of climate-induced stressors on risk of negative sentiment |b an analysis from 462 million geotagged tweets in Europe |c Tareq Al-Ahdal, Sandra Barman, Barrak Alahmad, Stella Dafka, Elisa Gallo, Joan Ballester, Mikhail Sofiev, Marina Romanello, Till Bärnighausen, Michael Gertz, and Joacim Rocklöv |
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| 520 | |a This study examines how climate-induced health risks influence negative sentiments on European social tweets from 2015 to 2022. Analyzing over 400 million tweets using NLP tools (NLTK, LIWC22) and spatial-temporal aggregation at the NUTS2 weekly level, we applied a Poisson generalized additive model (GAM) with integrated nested Laplace approximation (INLA) and fused lasso regularization to capture sentiment fluctuations. Results show negative sentiments rise by up to 0.36% when maximum temperatures exceed 26.9°C and by 0.49% during severe droughts (SPI < −3.72). Elevated alder pollen counts (>135 grains/m3) also increase risk of negative sentiment by 0.21%, while temperatures below 2.9°C reduce it by 0.63%. No significant association was found with heat-related mortality or West Nile virus incidence. These findings suggest specific climate-related health factors - high temperatures, droughts, and pollen - trigger negative social media reactions, whereas others, such as mortality and infectious outbreaks, appear unnoticed in public sentiment. | ||
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