O ensino de história no enfrentamento ao racismo algorítmico: uma contribuição para educação antirracista e decolonial

Abstract

This research was conducted within the ProfHistória program, focusing on the "Historical Knowledge in the School Environment" track. It stems from a teacher's concern regarding how to foster anti-racist and decolonial education in a society that believes in the neutrality of digital networks—networks that, in reality, generate racial biases. The study aims to understand the processes underlying algorithmic racism and its implications for history teaching within the context of ethnic-racial relations education. To achieve this objective, a review of authors addressing topics such as algorithmic racism, digital colonialism, anti-racist education, and decoloniality was conducted. A qualitative methodology based on document analysis was employed. The primary source for the research was a timeline of algorithmic racism incidents—compiled by Tarcízio Silva and available on the *Desvelar* project website. Categorizing and analyzing the cases recorded therein—spanning the years 2010 to 2025—enabled the construction of typologies of algorithmic racism and the mapping of actions taken by racial justice collectives in the digital sphere. As a practical outcome, a collaborative board game titled "Algorithmic and Anti-Racist Justice League" (*Liga da Justiça Algorítmica e Antirracista*) was developed; its goal is to critically examine discrimination within digital networks by linking the recognition of various manifestations of algorithmic racism to the collective development of strategies to combat it.