Abstract
To assess the state of social media geolocation research and inform its application to crisis management, we conducted a systematic literature review of 46 peer-reviewed studies published between 2020–2024. These studies establish a pre-generative AI baseline for understanding how emerging large language model (LLM) approaches may extend geolocation capabilities. Our review reveals inconsistently defined geolocation inference goals and spatial resolution targets, a predominant—though not universal—focus on Twitter/X, and goal-contingent uses of methods and data sources that constrain operational applicability in crisis contexts. Synthesizing these findings, we introduce a standardized conceptual framework for classifying geolocation inference goals and spatial resolutions, enabling consistent comparison across existing and LLM-based approaches. We conclude by highlighting the need and opportunities to align social media geolocation research with operational needs and requirements in crisis management contexts.
| Original language | English |
|---|---|
| Journal | Proceedings of the International ISCRAM Conference |
| Volume | 23 |
| DOIs | |
| Publication status | Published - 2026 |
| Event | 23rd International ISCRAM Conference: Building Stronger Futures: Ensuring Public Safety in Times of Crisis, 2026 - The Hague, Netherlands Duration: 31 May 2026 → 3 Jun 2026 |
Keywords
- Geolocation
- emergency management
- geographic information systems
- social media
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