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

arXiv: https://arxiv.org/abs/2009.05560 · HTML: https://mlsanity.com/paper/2009.05560/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Sep 2020.

## Built on by (most cited first, 2 of 2)

- [Trend and Thoughts: Understanding Climate Change Concern using Machine Learning and Social Media Data](https://mlsanity.com/paper/2111.14929/) (2021)
- [Natural Language Processing for Policymaking](https://mlsanity.com/paper/2302.03490/) (2023)

## Abstract (arXiv)

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.