SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection

Mattia Samory, Felix Soldner, Veronika Batzdorfer


Abstract
Despite the need to address the proliferation of conspiracy theories in online discussions, there is a lack of benchmarks for effectively detecting conspiracy-related content in everyday conversational settings. We introduce a novel dataset of comments from Reddit, ranging from politics to TV series, as well as two synergetic tasks: (1) extracting five psycholinguistic markers, grounded in evolutionary psychology, and (2) detecting conspiracy content. The data enable multi-task approaches, allowing testing of whether marker extraction improves detection performance.
Anthology ID:
2026.semeval-1.444
Volume:
Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
Month:
July
Year:
2026
Address:
San Diego, California, USA
Editors:
Ekaterina Kochmar, Debanjan Ghosh, Kai North, Mamoru Komachi
Venues:
SemEval | WS
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3628–3639
Language:
URL:
https://preview.aclanthology.org/ingest-acl-workshops/2026.semeval-1.444/
DOI:
Bibkey:
Cite (ACL):
Mattia Samory, Felix Soldner, and Veronika Batzdorfer. 2026. SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection. In Proceedings of the 20th International Workshop on Semantic Evaluation (2026), pages 3628–3639, San Diego, California, USA. Association for Computational Linguistics.
Cite (Informal):
SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection (Samory et al., SemEval 2026)
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PDF:
https://preview.aclanthology.org/ingest-acl-workshops/2026.semeval-1.444.pdf
Supplementarymaterial:
 2026.semeval-1.444.SupplementaryMaterial.zip