An Industrialized Disinformation System
Research presented by Emmanuel Vincent (Science Feedback) shows a pattern: climate disinformation is produced methodically. In eight months, 529 documented cases were identified, grouped into 19 dominant narratives. Two findings stand out :- 90% of attacks target climate solutions, not just climate science.
- False content benefits from algorithmic overexposure.
- TikTok: 20% of climate content contains disinformation
- Instagram: 15%
- LinkedIn: 2%
Where the Narratives Come From
These narratives are not spontaneous. They are engineered. Think tanks such as IFRAP in France and the Heartland Institute in the US produce talking points that are then amplified by political actors with direct economic interests. The US already uses advanced scientific methods to trace the origins of these narratives. France and Brazil are now experimenting with cross-border tracing frameworks, according to Eva Morel (Quota Climat).Technology as Both Weapon and Shield
Camille Grenier (Forum on Information and Democracy) highlighted a core problem: those who control the technology are not necessarily aligned with the fight against disinformation. Platforms have become active vectors of disinformation through their algorithms. At the same time, defensive tools are emerging:- Specialized LLM models trained to detect false information
- Models trained directly on disinformation datasets
- Systematic human validation for complex cases
- The AI tool “Spinoza” developed by the association Reporters Without Borders for journalists
- ClimateQ&A.com, built on IPCC data
Sora 2 and the Deepfake Turning Point
Hyper-realistic video generators such as Sora 2 (OpenAI) represent a major shift: disinformation is no longer only textual or statistical, but visual and emotional. The boundary between real and synthetic content is rapidly eroding. This creates risk for:- Governments
- Media organizations
- Companies
Corporate Contradictions
Laurent Félix (Ekimetrics) described the corporate paradox:- CSR is interpreted inconsistently
- Companies face economic vs ecological contradictions
- Few have genuinely transformed their models
“Recognizing that economic performance is tied to their ability to transform in an ecological way is fundamental. Few companies have made this shift”, Laurent Félix, CEO Ekimetrics
Brazil as a Disinformation Laboratory
Brazil has become a global testbed. In April 2024, massive campaigns falsely claimed the government was doing nothing about floods. Disinformation is now used as a political weapon. The Rio Summit on Climate Information Integrity raised a central question: what political, legal, and financial tools are actually deployed? So far, the answer remains weak.Traditional Media Are Not Immune
Contrary to common assumptions:- People over 60 share more fake news than younger groups
- Young people consume both traditional media and social media
- Traditional media also spread misinformation
A Fragile Regulatory Framework
The European Digital Services Act (DSA) aims to structurally constrain platforms. However, the US government is currently pushing to dismantle it, threatening global regulatory coherence. Without binding legal pressure, platforms have no structural incentive to reduce the virality of false content.What Actually Works
The most effective levers identified so far:- Tracing origin sources of narrative
- AI models specialized in disinformation detection
- International coalitions (France–Brazil, upcoming biodiversity cooperation)
- Sanctions for media spreading false information
- Systematic source citation
- Stronger coordination between media outlets


