@inproceedings{samory-etal-2026-semeval,
title = "{S}em{E}val-2026 Task 10: {P}sy{C}o{M}ark {--} Psycholinguistic Conspiracy Marker Extraction and Detection",
author = "Samory, Mattia and
Soldner, Felix and
Batzdorfer, Veronika",
editor = "Kochmar, Ekaterina and
Ghosh, Debanjan and
North, Kai and
Komachi, Mamoru",
booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.semeval-1.444/",
pages = "3628--3639",
ISBN = "979-8-89176-414-9",
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."
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<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.</abstract>
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%0 Conference Proceedings
%T SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection
%A Samory, Mattia
%A Soldner, Felix
%A Batzdorfer, Veronika
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F samory-etal-2026-semeval
%X 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.
%U https://aclanthology.org/2026.semeval-1.444/
%P 3628-3639
Markdown (Informal)
[SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection](https://aclanthology.org/2026.semeval-1.444/) (Samory et al., SemEval 2026)
ACL