Narratives and Needs: Analyzing Experiences of Cyclone Amphan Using Twitter Discourse
This work addresses the challenge of extracting actionable insights from social media data for disaster response and management, though it appears incremental in applying existing social media analysis to a specific event.
The paper tackled the problem of understanding social, political, and economic experiences during extreme weather events by analyzing Twitter discourse on Cyclone Amphan, which affected 18 million people, and developed two novel methodologies to characterize narratives and identify unmet needs.
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.