Analyzing COVID-19 Discourse on Twitter in Argentina: Trends, Sentiments, and Key Themes

Pineda-Briseño A.; Chire-Saire J.; Oblitas J.F. · Communications in Computer and Information Science (2026) · DOI: 10.1007/978-3-032-18293-7_1

Resumen

In the era of the COVID-19 pandemic, social media platforms have become essential conduits for disseminating information. Twitter, with its real-time nature and global reach, has played a pivotal role in facilitating this dynamic. This research paper delves into the multi-faceted landscape of Twitter conversations surrounding the pandemic in Argentina from its onset in 2020 through 2023. Utilizing advanced Natural Language Processing (NLP) and sentiment analysis techniques, we examine the emotional tone and evolving topics of discussion among the Argentine Twitter community. Our findings reveal significant trends in public sentiment and highlight key moments that influenced the discourse. By analyzing over 1.2 million Spanish-language tweets, this study provides insights into the public’s reaction to major epidemiological events, government interventions, and societal changes. The results underscore the importance of social media as a barometer for public opinion and its impact on public health communication strategies. This work contributes to the broader understanding of social media’s role in crisis management and offers valuable lessons for future health emergencies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

Instituciones: Universidad Privada del Norte