37.142, Confs: ClimateCheck 2026: Shared Task on Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims (Spain)

[The LINGUIST List]

LINGUIST List: Vol-37-142. Tue Jan 13 2026. ISSN: 1069 - 4875.

Subject: 37.142, Confs: ClimateCheck 2026: Shared Task on Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims (Spain)

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Date: 12-Jan-2026
From: Max Upravitelev [max.upravitelev at tu-berlin.de]
Subject: ClimateCheck 2026: Shared Task on Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims


ClimateCheck 2026: Shared Task on Scientific Fact-Checking and
Disinformation Narrative Classification of Climate-related Claims
Short Title: ClimateCheck 2026
Theme: Scientific Fact-Checking and Disinformation Narrative
Classification of Climate-related Claims

Date: 12-May-2026 - 12-May-2026
Location: Palma de Mallorca (Spain), Spain
Contact: Max Upravitelev
Contact Email: max.upravitelev at tu-berlin.de
Meeting URL: https://nfdi4ds.github.io/nslp2026/

Linguistic Field(s): Computational Linguistics

Submission Deadline: 16-Feb-2026

The rise of climate discourse on social media offers new channels for
public engagement but also amplifies mis- and disinformation. As
online platforms increasingly shape public understanding of science,
tools that ground claims in trustworthy, peer-reviewed evidence are
necessary. The new 2026 iteration of ClimateCheck builds on the
results and insights from the 2025 iteration (run at SDP 2025/ACL
2025), extending it by adding training data, a new task on classifying
disinformation narratives in climate discourse, and a focus on
sustainable solutions.
The ClimateCheck shared task is a part of the the 3rd International
Workshop on Natural Scientific Language Processing (NSLP 2026), which
will take place on May 12 2026 and is co-located with LREC 2026 in
Palma de Mallorca (Spain).
Available Tasks:
Task 1: Abstract retrieval and claim verification: given a claim and a
corpus of publications, retrieve the top 5 most relevant abstracts and
classify each claim-abstract pair as supports, refutes, or not enough
information.
Evaluation: Recall at K (K=2, 5) and B-Pref (for retrieval) + Weighted F1
(for verification) based on gold data; additional unannotated
documents will be evaluated automatically. In addition, we will ask
participants to use CodeCarbon to assess emissions and energy
consumption at test inference.
Task 2: Disinformation narrative classification: given a claim,
predict which climate disinformation narrative exists according to a
predefined taxonomy.
Evaluation: Macro-, micro-, and weighted-F1 scores based on annotated
documents.
Important Dates:
- Release of datasets: December 15, 2025 (task 1); December 19, 2025
(task 2) -) Both datasets are now available for training!
- Testing phase begins: January 15, 2026 (Codabench link TBA)
- Deadline for system submissions: February 16, 2026
- Deadline for paper submissions: February 20, 2026
- Notification of acceptance: March 13, 2026
- Camera-ready papers due: March 30, 2026
- Workshop: May 12, 2026
We encourage and invite participation from junior researchers and
students from diverse backgrounds. Participants are also highly
encouraged to submit a paper describing their systems to the NSLP 2026
workshop.
Call for Participation:
The call for participation with more information can be found here:
https://nfdi4ds.github.io/nslp2026/



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