Social Media and Crisis Informatics Research in LIS
Publication Date
10-1-2024
Document Type
Article
Publication Title
Proceedings of the Association for Information Science and Technology
Volume
61
Issue
1
DOI
10.1002/pra2.1093
First Page
749
Last Page
753
Abstract
Crisis informatics is centrally situated within the realms of LIS research and practice, given the focus on the interconnection between information, people, and technology during disasters such as hurricanes, earthquakes, wildfires, and global health crises. However, there is yet to be a community dedicated to crisis informatics research at ASIS&T, where researchers can exchange theoretical frameworks, the latest methodologies, and collected datasets, potentially fostering long-term collaborations. Therefore, this panel proposes to bring together scholars within LIS who have been active contributors to crisis informatics research, from multiple perspectives ranging from critical librarianship, machine learning, and human-computer interaction (HCI), to mixed-methods approaches. The panelists will first share their most current crisis-related research project and how they envision their research agenda advancing crisis informatics research in the LIS community. Then, they will engage in an interactive Q&A with the audience to discuss the current state of crisis informatics research and their prospective plans for advancing the field within the LIS research and practice community. The panel will foster collaborations and contribute to the improvement of response planning and policies through evidence about how information is sought, processed, and used during crises. This panel is sponsored by SIG Social Media (SIG SM).
Keywords
community resilience, Crisis informatics, mixed-methods approaches, network analysis, social media
Department
Information
Recommended Citation
Ly Dinh, Lingzi Hong, Catherine Dumas, Beth Patin, Souvick Ghosh, Lingyao Li, and Christy Khoury. "Social Media and Crisis Informatics Research in LIS" Proceedings of the Association for Information Science and Technology (2024): 749-753. https://doi.org/10.1002/pra2.1093