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The COVID-19 pandemic significantly impacted public emotions on Twitter across Spanish-speaking countries. Analysis of 3 million tweets revealed dynamic shifts in sentiment related to the global health crisis.

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Area of Science:

  • Social Sciences
  • Computational Social Science
  • Public Health

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, presented an unprecedented global crisis.
  • Governments implemented widespread restrictions, impacting daily life and economic activities.
  • Social media platforms like Twitter became crucial for public expression of emotions and opinions.

Purpose of the Study:

  • To analyze the emotional impact of the COVID-19 pandemic on Twitter users in Spanish-speaking countries.
  • To track the evolution of public sentiment regarding the pandemic over 13 months (March 2020 - March 2021).
  • To understand how pandemic-related issues influenced population emotions and opinions.

Main Methods:

  • Utilized a dataset of 3 million tweets from Chile, Mexico, Peru, and Spain.
  • Employed the EmoWeb framework to analyze the dynamic sentiment of pandemic-related keywords.
  • Conducted a temporal analysis of emotional variations in public discourse.

Main Results:

  • The study identified significant shifts in public emotions on Twitter throughout the pandemic.
  • Results demonstrate varied impacts of the pandemic and its consequences across different countries.
  • The evolution of opinions on various COVID-19 topics was mapped over the study period.

Conclusions:

  • The COVID-19 pandemic profoundly affected the emotional landscape of social media users in Spanish-speaking regions.
  • Twitter sentiment analysis provides valuable insights into public perception and emotional responses to global health crises.
  • Understanding these emotional dynamics is crucial for public health communication and policy-making.