Brazilian media have played a crucial role in exposing corruption, especially amid the pandemic crisis. Considering that, during Covid-19, the media became the main source of information for many Brazilians, with Twitter becoming a very dynamic platform for expressing opinions and discussing corruption. In this scenario, media convergence shaped social discourse, affecting collective perceptions and the level of public trust, with the continuous flow of information about corruption fueling anxiety insecurity and undermining faith in institutions. With this in mind, this case study utilizes Content Analysis and Computer-Assisted Content Analysis methodologies to examine the representation of corruption in articles from news portals and public tweets by Brazilians. The work aim to analyze how corruption was represented through these two forms of communication during the Covid-19 pandemic. By specifically considering the interactions between the media, we aim to explore the differences, similarities, and recurrences in the narratives about corruption between traditional media and the social platform Twitter. From that, this analysis seeks to understand how these representations are portrayed in relation to locations, editorial areas, politicians, political parties, scandals/operations, and investigations, as well as how these categories interact with the phenomena through recurring subcategories. • The analysis reveals distinct trends and contrasts in corruption narratives across media outlets, news articles, and tweets, highlighting differences in focus and depth of discussion. On news portals, corruption is often portrayed through a legal and procedural lens, with an emphasis on the developments of investigations and the judicial punishments in corruption cases. On the other hand, tweets discuss corruption more broadly, focusing on specific political figures and scandals, and reflecting the frustration of Brazilians with the recurrence of scandals. • The discourse on corruption encompasses terms such as ...
