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

Original Language
English
ISBN
978-92-9268-139-5
ISBN (PDF)
978-92-9268-002-2
Number of Pages
38
Reference Number
PUB2021/016/EL
Year of Publication
2021
Hide Region
Region
Europa Septentrional
Europa Meridional
Europa Occidental
América del Norte
Hide all countries
Country
Alemania
Italia
España
United Kingdom
Estados Unidos de América

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

This report discusses the essential findings and learnings from a collaborative research project with the University of Liverpool, investigating the use of Twitter data to track immigration sentiment during the early stages of the COVID-19 pandemic. Specifically, the report will (a) demonstrate how immigrants have experienced acts of discrimination and racism in five countries (the United States of America, the United Kingdom, Spain, Italy and Germany); (b) determine to what extent (anti-)immigration sentiment has shifted in reaction to increasing geographical spreads and fatality rates of COVID-19; and (c) assess how acts of discrimination and racism towards immigrants during the early stages of the COVID-19 pandemic vary by country.

  • Executive summary
  • Introduction
  • Background
  • Harnessing twitter data for measuring public sentiment
  • towards migration
  • Migration-related public sentiment and trending topics on twitter
  • Implications for policy and areas of future work
  • References
  • Appendices