Cartographie de la désinformation climatique dans les médias mainstream français et brésiliens

The report analyzes climate disinformation in French and Brazilian mainstream media, finding that in France, disinformation is systemic and often linked to political and economic interests, while in Brazil, it manifests as a strategic 'invisibilization' of environmental issues driven by the agribusiness sector. It recommends strengthening media regulation, improving journalist training, and integrating disinformation detection into emergency response systems for extreme weather events.

• Between January and August 2025, 529 cases of climate misinformation were detected in French audiovisual media, with the monthly average tripling by summer, peaking during events such as Donald Trump's inauguration and debates on Low Emission Zones (ZFE).
• In France, over 90% of identified disinformation narratives target transition solutions, with 70% specifically concerning the energy sector and renewable energies, 10% mobility, and 9% France's global role in climate action.
• Specific French media outlets show high permeability to disinformation: Sud Radio records one case of misinformation every 23 minutes of climate-related programming, and CNews every 26 minutes.
• In France, 46% of misinformation cases in the private sector are spoken by journalists or columnists, whereas in the public sector, guests (including politicians) account for 92% of cases.
• Climate disinformation in France is linked to the influence of high-emitting sectors (automotive, petrochemical, and agricultural) and the ideological orientation of certain media owners, such as Vincent Bolloré.
• In Brazil, climate disinformation is characterized by the 'invisibilization' of environmental issues, where coverage represented only 1% of monitored airtime in the summer of 2025.
• Brazilian agribusiness, particularly through the Frente Parlamentar da Agropecuária (FPA), exerts significant influence over the national agenda and media, promoting a 'deconflictualized' image of the sector.
• Preliminary results in Brazil identified 24 cases of misinformation, with 70% occurring on the conservative channel Jovem Pan. Key themes include agriculture/deforestation, COP 30, and electric vehicles versus bio-ethanol.
• Climate disinformation in Brazil contributes to the endangerment of environmental defenders by delegitimizing them as 'enemies of progress' and normalizing violence against them.
• The report identifies a 'new climate denial' that no longer denies warming itself but undermines the feasibility, legitimacy, or socio-economic consequences of mitigation and adaptation measures.
• Generative AI is used for 'LLM laundering,' where AI models reproduce and amplify misleading narratives previously seeded on the web by networks like the Russian-led Pravda.
• The report recommends institutionalizing early warning systems that combine OSINT and semi-automated detection to identify disinformation campaigns during extreme weather events, as such narratives can hinder emergency evacuations.

APA

QuotaClimat (2025). Cartographie de la désinformation climatique dans les médias mainstream français et brésiliens. https://quotaclimat.org/app/uploads/2026/03/Cartographie-desinformation-climatique-France-Bresil_2025.pdf

Chicago

QuotaClimat. Cartographie de la désinformation climatique dans les médias mainstream français et brésiliens. 2025. https://quotaclimat.org/app/uploads/2026/03/Cartographie-desinformation-climatique-France-Bresil_2025.pdf.

Wikipedia

{{cite report |author=QuotaClimat |title=Cartographie de la désinformation climatique dans les médias mainstream français et brésiliens |date=October 2025 |url=https://quotaclimat.org/app/uploads/2026/03/Cartographie-desinformation-climatique-France-Bresil_2025.pdf |access-date=23 October 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{quotaclimat2025cartographie, author = {{QuotaClimat}}, title = {{Cartographie de la désinformation climatique dans les médias mainstream français et brésiliens}}, institution = {QuotaClimat}, year = {2025}, month = oct, url = {https://quotaclimat.org/app/uploads/2026/03/Cartographie-desinformation-climatique-France-Bresil_2025.pdf}, urldate = {2026-10-23}, note = {Indexed by Climate Insights Directory} }