University of Kwazulu-Natal

Pdf Evidence Based Automatic Fact Checking For Climate Change Icwsm

Bonisiwe Shabane
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pdf evidence based automatic fact checking for climate change icwsm

npj Climate Action volume 4, Article number: 17 (2025) Cite this article Accurate identification of true versus false climate information in the digital age is critical. Misinformation can significantly affect public understanding and policymaking. Automated fact-checking seeks to validate claims against trustworthy factual data. This study tackles the challenge of fact-checking climate claims by leveraging the currently most capable Large Language Models (LLMs). To this end, we introduce Climinator, an acronym for CLImate Mediator for INformed Analysis and Transparent Objective Reasoning.

It significantly boosts the performance of automated fact-checking by integrating authoritative, up-to-date sources within a novel debating framework. This framework provides a trustworthy and context-aware analysis incorporating multiple scientific viewpoints. Climinator helps identify misinformation in real time and facilitates informed dialog on climate change, highlighting AI’s role in environmental discussions and policy with reliable data. In the era of digital information abundance, the endeavor to counter climate misinformation has found a promising ally in artificial intelligence (AI). Research shows that engaging with an AI chatbot on climate change can significantly align public perception with scientific consensus1, highlighting the importance of ensuring that the large language models (LLMs) underpinning these systems are... Therefore, we ask how well we can embed scientific consensus into automated fact-checking.

To this end, we developed Climinator—an acronym for CLImate Mediator for INformed Analysis and Transparent Objective Reasoning. Climinator evaluates the veracity of climate statements and improves its verdicts with evidence-based and scientifically credible reasoning and references to relevant literature. Our vision is to use AI to catalyze a well-informed global climate dialog, enrich public discourse with scientific insights, and foster a more informed society ready to engage with climate challenges. Climinator serves as a first step in this direction. Platforms like Climate Feedback and Skeptical Science have made commendable efforts to involve climate scientists in volunteering their expertise and providing an essential service in addressing climate misinformation. These scientists voluntarily dedicate their time to giving concise science-based evaluations, including references, and delivering a final verdict on disputed claims.

Despite their valuable contributions, these efforts face significant challenges, including scalability and actuality. Hence, their impact is limited by the sheer volume of misinformation and skepticism in digital media, worsened by misinformation spreading more rapidly and widely than factual information2. As a response, automated fact-checking3,4 aims to debunk misinformation at scale using natural language processing methods. While automated fact-checking tools have improved, they struggle with complex claims due to a lack of detailed reasoning5,6,7, particularly in the domain of climate change8. To address this problem, we introduce an advanced framework that overcomes these limitations by integrating LLMs within a Mediator-Advocate model. Although recent work has explored the aggregation of different viewpoints using LLMs to build a general consensus9, we address real-world claim complexities and evidence controversies in a novel way10,11,12.

In particular, we introduce separate “Advocates,” each drawing on a distinct text corpus to represent a specific viewpoint, while a “Mediator” either asks follow-up questions or synthesizes these perspectives into a cohesive and balanced... 2024 S1 COMP90042 Natural Language Processing Group Project Fork with 2024 COMP90042 Project Description. Overleaf Report: https://www.overleaf.com/read/sgchwdbmvjbq#c47aff The impact of climate change or humanity is a significant cocern. However, the increase is unverified statements regarding climate science has led to a distortion of public opinion, underscoring the importance of conducting on claims related to climate science.

Consider the following claim and related evidence: Claim: The Earth's climate sensitivity is so low that a doubling of atmoshperic CO2 will result in a surface temperature change on the order of 1 cellus degree or less. Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers. Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors. Gengyu Wang, Lawrence Chillrud, Kathleen R. McKeown.

Evidence based Automatic Fact-Checking for Climate Change Misinformation. In Oana Balalau, Katherine Ognyanova, Daniel M. Romero, editors, Workshop Proceedings of the 15th International AAAI Conference on Web and Social Media, ICWSM 2021 Workshops, [virtual], June 7, 2021. 2021. [doi] Please note: Providing information about references and citations is only possible thanks to to the open metadata APIs provided by crossref.org and opencitations.net.

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Npj Climate Action Volume 4, Article Number: 17 (2025) Cite

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