A collaborative taxonomy of social media indicators for localised disaster response
We suggest future research areas that span across developing transfer learning approaches that leverage pre-trained multilingual models while incorporating region-specific context, creating active learning frameworks with local validation loops, implementing feedback mechanisms and establishing fair human-in-the-loop annotation processes that maintain quality.
Authors
- Manta Devi Nowbuth (ORCID: https://orcid.org/0000-0002-3584-4508)
- Príscila Carvalho (ORCID: https://orcid.org/0000-0003-3680-0336)
- Catalina Spataru (ORCID: https://orcid.org/0000-0003-3106-8035)
- Yaw Agyeman Boafo (ORCID: https://orcid.org/0000-0003-1430-7655)
- Ebenezer Forkuo Amankwaa (ORCID: https://orcid.org/0000-0002-8735-2521)
- Zainab Akhtar (ORCID: https://orcid.org/0000-0003-1850-3688)
- Ferda Ofli (ORCID: https://orcid.org/0000-0003-3918-3230)
- Muhammad Imran (ORCID: https://orcid.org/0000-0001-7882-5502)
Institutions
- Qatar Airways (Qatar) (QA)
- University of Ghana (GH)
- University College London (GB)
- University of Mauritius (MU)
Publication Details
- Journal
- Jàmbá Journal of Disaster Risk Studies
- Published
- 2025-10-14
- DOI
- https://doi.org/10.4102/jamba.v17i2.1839
- Primary Topic
- Public Relations and Crisis Communication
- Type
- article
- Field-Weighted Citation Impact
- 0.00