Accelerating Crisis Response: Automated Image Classification for Geolocating Social Media Content

Author:

Firmansyah Hafiz Budi1ORCID,Fernandez-Marquez Jose Luis1ORCID,Mulayim Mehmet Oguz2ORCID,Gomes Jorge3ORCID,Lorini Valerio4ORCID

Affiliation:

1. Centre Universitaire d'Informatique, University of Geneva, Geneva, Switzerland

2. Artificial Intelligence Research Institute, IIIA Spanish National Research Council, CSIC, Barcelona, Spain

3. Virtual Operations Support Teams, Lisbon, Portugal

4. Joint Research Center European Commission, Ispra, Italy

Publisher

ACM

Reference14 articles.

1. B. Huang and K. M. Carley, "A large-scale empirical study of geo-tagging behavior on twitter," in Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ser. ASONAM '19. New York, NY, USA: Association for Computing Machinery, 2020, p. 365--373.

2. F. Murgese G. Costa-Alcaina M. O. Mülâyim J. Cerquides and J. L. Fernandez-Marquez "Automatic outdoor image geolocation with focal modulation networks " in Artificial Intelligence Research and Development: Proceedings of the 24th International Conference of the Catalan Association for Artificial Intelligence. IOS Press 2022.

3. CIME: Context-aware geolocation of emergency-related posts

4. P. Rufolo, D. Muraro, and V. Lorini, Social media image analysis in the immediate aftermath of the 2020 Beirut blast, 2021.

5. V. Lorini, E. Panizio, and C. Castillo, "Smdrm: A platform to analyze social media for disaster risk management in near real time," in In Workshop Proceedings of the 16th International AAAI Conference on Web and Social Media, 2022.

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