August 15, 2022

Sentiment towards Migration during COVID-19: What Twitter Data can tell Us

UN Entity:

IOM

SDGs:

SDG 10: Reduced Inequalities

Innovation Area:

Artificial Intelligence & Machine Learning
Behavioural Science
Data Innovation
Drawing on a random sample of 30.39 million tweets across five countries – Germany, Italy, Spain, the United Kingdom and the United States of America – the report investigates changes in public discourse about COVID-19 and migration-related topics in the period December 2019–April 2020, using sentiment analysis and topic modelling. Specifically, the reports seek to: (a) measure the extent of xenophobia on Twitter; (b) identify trending topics associated with changes in xenophobic sentiments; and (c) assess how topics and sentiments changed over time.
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IOM

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