The ClimateCheck Shared Task: Scientific Fact-Checking of Social Media Claims about Climate Change

Misinformation in public discourse on global and significant issues like climate change is often facilitated through social media.However, current systems do not address factchecking climate-related claims against trustworthy, evidence-based sources, such as scientific publications.To address this, we organised the ClimateCheck shared task at the 5th Scholarly Document Processing (SDP) Workshop, co-located with ACL 2025 in Vienna, Austria.The task featured two subtasks: I. Abstracts retrieval given a claim, and II.Claim verification based on the retrieved abstract.Cli-mateCheck had 27 registered users with active participation from 13 teams, ten of which submitted results for the first subtask and three for the second.The winning team achieved a Recall@10 score of 0.66 and a Binary Preference score of 0.49 for subtask I, and an F1 score of 0.73 for subtask II.Their method combined sparse retrieval using BM25, an ensemble of fine-tuned cross-encoder models using BGErerankers, and LLMs for classification.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.sdp-1.24
Citations
1
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
5.34

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article

The ClimateCheck Shared Task: Scientific Fact-Checking of Social Media Claims about Climate Change

Raia Abu Ahmad, Aida Usmanova, Georg Rehm
1 citations
Computational and Text Analysis Methods
5.34
article

The ClimateCheck Shared Task: Scientific Fact-Checking of Social Media Claims about Climate Change

Raia Abu Ahmad, Aida Usmanova, Georg Rehm
article en
1 citations

Abstract

Misinformation in public discourse on global and significant issues like climate change is often facilitated through social media.However, current systems do not address factchecking climate-related claims against trustworthy, evidence-based sources, such as scientific publications.To address this, we organised the ClimateCheck shared task at the 5th Scholarly Document Processing (SDP) Workshop, co-located with ACL 2025 in Vienna, Austria.The task featured two subtasks: I. Abstracts retrieval given a claim, and II.Claim verification based on the retrieved abstract.Cli-mateCheck had 27 registered users with active participation from 13 teams, ten of which submitted results for the first subtask and three for the second.The winning team achieved a Recall@10 score of 0.66 and a Binary Preference score of 0.49 for subtask I, and an F1 score of 0.73 for subtask II.Their method combined sparse retrieval using BM25, an ensemble of fine-tuned cross-encoder models using BGErerankers, and LLMs for classification.

Deutsche Forschungsgemeinschaft
Climate action
Openalex Percentile: Top 4%
Computational and Text Analysis Methods
5.34
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