The poetics of mockery against the far-right disinformation machine in digital platforms

This article examines the attacks by far-right movements on one of democracy’s core principles: the concept of truth. The analysis details the workings of the global disinformation machine operated by these groups and proposes strategies to tackle it. Identifying disinformation as a central factor in the radicalization of the electorate—a force that dissolves shared reality and creates an episteme detached from other sectors of society —, the text suggests artistic principles to set up tactics that explore the vulnerabilities of this machine. Digital art is highlighted as a strategic tool against the far right, exemplified by the experience of the artist herself who, in the 2022 Brazilian elections, used humor and entertainment on digital media as a form of militancy. The initial work, aimed at “vote-shifting,” consisted of scenes composed of materials from heterogeneous fields that poetically reorganized the news from an alternative perspective to that of the mainstream media. This practice became a strategy to challenge the epistemes of the far right, encouraging a political debate that transcends stricto sensu rationality. The article perceives digital action as vital to amplify social movements and deconstruct radicalization, promoting a balanced information environment and contributing to a more inclusive and shared world.

Authors

Institutions

Publication Details

Journal
Ephemera.
Published
2025-07-18
DOI
https://doi.org/10.70446/ephemera.v8i15.8169
Primary Topic
Cybersecurity and Cyber Warfare Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The poetics of mockery against the far-right disinformation machine in digital platforms

Luciana Mizutani
Ephemera.
Cybersecurity and Cyber Warfare Studies
article

The poetics of mockery against the far-right disinformation machine in digital platforms

Luciana Mizutani
article en

Abstract

This article examines the attacks by far-right movements on one of democracy’s core principles: the concept of truth. The analysis details the workings of the global disinformation machine operated by these groups and proposes strategies to tackle it. Identifying disinformation as a central factor in the radicalization of the electorate—a force that dissolves shared reality and creates an episteme detached from other sectors of society —, the text suggests artistic principles to set up tactics that explore the vulnerabilities of this machine. Digital art is highlighted as a strategic tool against the far right, exemplified by the experience of the artist herself who, in the 2022 Brazilian elections, used humor and entertainment on digital media as a form of militancy. The initial work, aimed at “vote-shifting,” consisted of scenes composed of materials from heterogeneous fields that poetically reorganized the news from an alternative perspective to that of the mainstream media. This practice became a strategy to challenge the epistemes of the far right, encouraging a political debate that transcends stricto sensu rationality. The article perceives digital action as vital to amplify social movements and deconstruct radicalization, promoting a balanced information environment and contributing to a more inclusive and shared world.

Ephemera.Vol. 8(15)
Hydroacoustics (United States) (US)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade Federal de Ouro Preto
Openalex Percentile: Top 72%
Cybersecurity and Cyber Warfare Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.