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Advancing Climate Fact-Checking with AI & Community Collaboration

Initiative in Sustainable Finance: Insights from Markus Leippold

In an era overwhelmed by misinformation, especially around complex issues like climate change, distinguishing fact from fiction is critical. Yet, human capacity to verify complex claims at scale is limited. Addressing this challenge, Prof.Markus Leippold and his colleagues have developed CLIMINATOR (Climate Mediator for Informed Analysis and Transparent Objective Reasoning), an innovative AI-based system that closely mimics the human fact-checking process.

How CLIMINATOR Works

CLIMINATOR employs a Mediator-Advocate framework inspired by expert deliberations. Multiple AI "Advocates," each grounded in authoritative climate science sources, independently evaluate claims. A central "Mediator" then synthesizes these perspectives to produce a transparent and well-informed final verdict.

Benchmark-Setting Performance

CLIMINATOR significantly advances automated climate claim verification:

  • Achieves up to 96% accuracy in binary claim assessments.
  • Clearly surpasses general-purpose models (e.g., GPT-4o), especially in nuanced evaluations involving detailed categories.
  • Robustly identifies common misinformation patterns, such as cherry-picked data, misleading statistics, and oversimplified causality.

Model Performance by Classification Levels

CLIMINATOR consistently outperforms GPT-4o across increasingly detailed classification levels*, demonstrating its specialized strength in handling nuanced scientific claims.

Accuracy CLIMINATOR vs GPT 4o

CLIMINATOR's performance is particularly notable when answers fall into more fine-grained categorizations of claims. When classifying claims into twelve detailed categories (Level 1), CLIMINATOR achieves an accuracy of 34.5% compared to GPT-4o's 31.1%. The gap widens significantly at Level 2 (five broader categories), where CLIMINATOR reaches 72.7% accuracy versus GPT-4o's 56.5%. This demonstrates CLIMINATOR's superior ability to handle nuanced classifications, due to its integration of domain-specific knowledge from trusted sources.

Enhanced Debate through Diverse Perspectives

Uniquely, CLIMINATOR also incorporates adversarial views, notably through an Advocate based on the Non-Governmental International Panel on Climate Change (NIPCC), representing contrarian positions. This inclusion triggers richer, more realistic debates and mimics real-world discourse, further strengthening CLIMINATOR’s verdicts and transparency.

"CLIMINATOR provides journalists, fact-checkers, policymakers, and educators with a robust tool to quickly and reliably evaluate climate-related claims." –Markus Leippold

Powerful Real-World Applications

CLIMINATOR provides journalists, fact-checkers, policymakers, and educators with a robust tool to quickly and reliably evaluate climate-related claims. By ensuring accurate, evidence-based public dialogue, CLIMINATOR fosters informed policymaking and enhanced public understanding of climate issues.

Join Our Community: Open-Source and Collaborative

CLIMINATOR is more than technology—it's a community-powered initiative. We actively welcome contributions from climate scientists, developers, AI specialists, educators, students, policymakers, and anyone passionate about fostering accurate climate discourse. This tool is part of a broader initiative on AI tools for society offering a complete ecosystem of fact-checking and democratic discourse tools.

Through the open-source toolkit, available at Climate&Tech FactChecker Open Source Toolkit, you can:

  • Contribute authoritative scientific sources.
  • Enhance real-time updating and multi-language capabilities.
  • Experiment with new model configurations to improve accuracy.
  • Join expert-driven collaborative efforts in dataset creation and validation.

Contextual Background:

Mimicking the human deliberation process

When faced with questions that we have no direct answer we might consult friends or experts, listen to their perspectives, compare viewpoints, ask follow-up questions for clarification before arriving at a conclusion. Our conclusions can range from a simple yes/no or true/false verdict to more nuanced assessments. However, human ability to fact check is limited, especially when it comes to very complex topics, such as climate change. The CLIMINATOR can handle complex topics while mimicking the human fact-checking process using Large Language Models (LLMs). In its Mediator-Advocate framework, where multiple "Advocates" represent different expert perspectives, and a "Mediator" synthesizes these viewpoints to reach a final verdict. 

More information:

Leippold, M., Vaghefi, S.A., Stammbach, D. et al. Automated fact-checking of climate claims with large language models. npj Clim. Action 4, 17 (2025). https://doi.org/10.1038/s44168-025-00215-8

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