Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse

Abstract

People often turn to social media to comment upon and share information about major global events. Accordingly, social media is receiving increasing attention as a rich data source for understanding people’s social, political and economic experiences of extreme weather events. In this paper, we contribute two novel methodologies that leverage Twitter discourse to characterize narratives and identify unmet needs in response to Cyclone Amphan, which affected 18 million people in May 2020.

Publication
Tackling Climate Change with Machine Learning Workshop at NeurIPS 2020. AI for Social Good Workshop at IJCAI 2020