Research notes

Populism manifests differently in various geographies due to different national frameworks, including political history, system, and culture. However, a common thread among populist movements is their claim of embodying the people as the voice of the people and the outsider opposing the morally compromised ruling elite, be it at a local or global level. The primary focus of this blog article is on how the discourse of right-wing populism is addressed in Brazil.

The detrimental effects of this car-centric approach are becoming increasingly apparent, and achieving sustainable transportation requires a holistic approach that addresses various aspects of urban living.

The Brazilian emigration process is considered recent. It was only in the 1980 years that Brazil, recognized throughout its history as a country of immigration, with the arrival of foreigners contributing to the formation of its national identity (Ribeiro, 1995; Lesser, 2001), passed to be considered a country of emigration. […]

Radical Right-Wing Populism (RWP) is a phenomenon that has been introduced previously in Latin America. In periods of economic crisis, the fight against inflation was another hallmark of right-wing populist appeals. Nevertheless, nativism, the core feature of RRP, was largely missing in earlier cases of RWP in Latin America. Nonetheless, Bolsonaro is as much a symptom of a broader trend as he is a consequence of recent Brazilian history.

Poverty inhabits different places and bodies, each one with different sociocultural, geographical, and historically variable dimensions and meanings. A process full of comings and goings, associated with the complex and profound transformations of the international scene, admitting different, if not divergent, interpretations and readings.

We collected daily tweets spanning from October 3rd to October 29th of 2022 (the day after the second turn elections in Brazil) for each one of the candidates running in the Brazilian second turn presidential elections. Tweets were collected from both candidates' timelines and Twitter users mentioning the candidates, totaling more than 69 million tweets, the largest volume of monthly data obtained since the beginning of our survey. We extracted the data through a Twitter API used exclusively for academic purposes and analyzed using R software.