Abstract

Crisis informatics is a multi-disciplinary area of research that has taken on renewed urgency due to the COVID-19 pandemic and the runaway effects of climate change. Due to scarce resources, technology, especially augmented artificial intelligence (AI), has the potential to play a meaningful role by using information management for facilitating better crisis response. In part, this is both due to improvements in the underlying technology, as well as an increasing willingness by stakeholders to release data and systems as open-source. Yet, it is still not clear from published literature if such established systems are truly useful on real-world crisis datasets (such as acquired from Twitter) that often contain noise and inconsistencies. In this paper, we explore this agenda by conducting a set of case studies, using real social media data collected during six disasters (including Hurricane Sandy and the Boston Marathon …

Date

December 5, 2021

Authors

Mayank Kejriwal, Ge Fang, Ying Zhou

Conference

2021 IEEE Symposium Series on Computational Intelligence (SSCI)

Pages

1-8

Publisher

IEEE