Leveraging deep learning to detect stance in Spanish tweets on COVID-19 vaccination.

ABSTRACT:

Objectives

The automatic detection of stance on social media is an important task for public health applications, especially in the context of health crises. Unfortunately, existing models are typically trained on English corpora. Considering the benefits of extending research to other widely spoken languages, the goal of this study is to develop stance detection models for social media posts in Spanish.

Materials and methods

A corpus of 6170 tweets about COVID-19 vaccination, posted between March 1, 2020 and January 4, 2022, was manually annotated by native speakers. Traditional predictive models were compared with deep learning models to ascertain a baseline performance for the detection of stance in Spanish tweets. The evaluation focused on the ability of multilingual and

SUBMITTER: Blanco G 

PROVIDER: S-EPMC11854073 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature