Can social media predict demand in humanitarian crises? A case study of the 2023 Türkiye earthquake
Bibliographic Data
| ID | 6456382 |
|---|---|
| Authors | Parinaz Kiavash (0009-0000-3073-1814), Altuğ Tanaltay (0000-0002-1388-1957), Raha Akhavan Tabatabaei, Raha Akhavan‐Tabatabaei (0000-0002-2767-2099) |
| Year | 2025 |
| Volume | 84 |
| Pages | 103054-103054 |
| Publication date | 2025-09-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2025.103054 |
| OpenAlex | W4414400043 |
| Language | EN |
| Citations received | 1 |
| References cited | 41 |
Emergency management · Humanitarian aid · Natural disaster · Social media · Disaster Management and Resilience · Evacuation and Crowd Dynamics · Facility Location and Emergency Management
Umap
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Natural Disasters, Armed Conflict, and Public Health
Emergency knowledge management and social media technologies
The celebrity disaster area effect
Relief Supply-Demand Estimation Based on Social Media in Typhoon Disasters Using Deep Learning and a Spatial Information Diffusion Model
Social media use in disaster recovery
Social media for emergency rescue
Resilience among survivors in the aftermath of the 2018 Kerala flood
Extracting disaster information based on Sina Weibo in China
Twitter analysis in emergency management
Spatial patterns and demographic indicators of effective social media content during theHorsethief Canyon fire of 2012
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |