Sentiment towards Migration during COVID-19. What Twitter Data Can Tell Us


Since the start of the COVID-19 pandemic, reports of incidents of xenophobia and discrimination against migrants – particularly individuals of Asian descent – have increased worldwide. Yet the lack of accurate and timely data has prevented a large-scale analysis of these developments. This report introduces a novel framework for using Twitter data to measure and monitor shifts in public sentiment towards migrants, complementing traditional data sources.

International Organization for Migration
Francisco Rowe
Francisco Rowe
Senior Lecturer in Quantitative Human Geography

My research interests include human mobility and migration; economic geography and spatial inequality; geographic data science.