Rastros na rede: as práticas de modulação algorítmica no controle e filtragem da informação no Facebook

Abstract

The dissertation addresses the modulation of behavior through surveillance and data monitoring, focusing on the News Feed of Facebook's digital platform. The research problem revolves around the capitalist practices of algorithmic modulation for control and information filtering, contextualized within the ongoing process of establishing a specific information regime within the studied platform. The general objective is to analyze the practices of algorithmic modulation and information filtering in the constitution of an information regime on Facebook. The specific objectives are to discuss how the platform's algorithmic systems function and their effects, as well as to explore algorithmic modulation and the phenomenon of the "filter bubble" based on the concept of an information regime. Using documentary and bibliographic methods, techniques, and procedures, the research, presented as exploratory in nature, employs Latour's Actor-Network Theory to observe the object and phenomenon of study from a socio-technical perspective. The identified results demonstrate, across technical, informational, and socio-technical dimensions of analysis regarding the platform's patents, its intention to respectively operationalize algorithmic mediation and modulation actions on its users, establish filters and bubbles in the subject-information relationship, and establish and maintain a specific information regime that modulates behaviors in pursuit of a voracious logic of surveillance capitalism. In conclusion, it is evident that the algorithmic modulation performed on the Facebook News Feed significantly contributes to the establishment of a specific information regime based on the appropriation of user data for behavior modulation and other purposes.