Como as plataformas produzem desinformação: interfaces, algoritmos e conteúdos falsos

Platforms participate in the production, circulation, consumption, and refutation of fake news, whether through the intervention of their interfaces and algorithms; by influencing the news selection of fact-checking agencies; or by developing technologies adopted in automated verification systems (Lemos; Oliveira, 2021). We aim to demonstrate the relationship between interfaces and algorithms of platforms and the production, consumption, and refutation of false content related to the "kit gay," the "Vaza Jato" scandal, and COVID-19. It combines field diaries from researchers, including incursions into public political groups on Telegram and WhatsApp between 2018 and 2022; is based on an analysis of the WhatsApp interface; and involves the collection and analysis of tweets about the "gay kit." The findings indicate that the platforms' interfaces: a) produce specific types of misinformation; b) determine strategies for the widespread circulation of false content; and c) define conditions for the refutation of false content. Thus, in the current context of platformization, datafication, and algorithmic performativity, understanding disinformation is not possible without analyzing the materiality of the platforms.

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Publication Details

Journal
Revista Contracampo
Published
2025-08-29
DOI
https://doi.org/10.22409/v95zqw38
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Como as plataformas produzem desinformação: interfaces, algoritmos e conteúdos falsos

Frederico Oliveira, André Lemos
Revista Contracampo
Big Data and Business Intelligence
article

Como as plataformas produzem desinformação: interfaces, algoritmos e conteúdos falsos

Frederico Oliveira, André Lemos
article en

Abstract

Platforms participate in the production, circulation, consumption, and refutation of fake news, whether through the intervention of their interfaces and algorithms; by influencing the news selection of fact-checking agencies; or by developing technologies adopted in automated verification systems (Lemos; Oliveira, 2021). We aim to demonstrate the relationship between interfaces and algorithms of platforms and the production, consumption, and refutation of false content related to the "kit gay," the "Vaza Jato" scandal, and COVID-19. It combines field diaries from researchers, including incursions into public political groups on Telegram and WhatsApp between 2018 and 2022; is based on an analysis of the WhatsApp interface; and involves the collection and analysis of tweets about the "gay kit." The findings indicate that the platforms' interfaces: a) produce specific types of misinformation; b) determine strategies for the widespread circulation of false content; and c) define conditions for the refutation of false content. Thus, in the current context of platformization, datafication, and algorithmic performativity, understanding disinformation is not possible without analyzing the materiality of the platforms.

Revista ContracampoVol. 44(2)
Universidade Federal da Bahia (BR), Hospital Ana Nery (BR)
Openalex Percentile: Top 58%
Big Data and Business Intelligence
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Como as plataformas produzem desinformação: interfaces, algoritmos e conteúdos falsos — Frederico Oliveira, André Lemos · Revista Contracampo (2025) | TGRS Research Map | TGRS