The Covid-19 Vaccine on TikTok: A Study of Emotional Expression in The Brazilian Contexto

Abstract

In this article, our objective was to analyze the emotions expressed regarding the Covid-19 vaccine in content published in Brazilian Portuguese on TikTok, a video sharing platform that has recently experienced global popularity. Our data set for this investigation was comprised of posts including the hashtag #vacina (vaccine), extracted using the Python TikTokAPI library. Emotions were identified and classified using standardized descriptors from the Human-Machine Interaction Network on Emotion (HUMAINE) and the Core Affect Model. Given the diversity of content on TikTok, videos with emotional content were also separated into categories. Results revealed a prevalence of positive emotions such as contentment, enthusiasm, and interest regarding the vaccines, especially in videos of a personal and informative character. Negative emotions, such as doubt and disapproval, were associated with contextual and strategic factors, with significant expression in humorous and infotainment publications.