mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection

Fuente: arXiv
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Main Author: Macko, Dominik
Format: Preprint
Published: 2026
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author Macko, Dominik
author_facet Macko, Dominik
contents SemEval-2026 Task 10 is focused on conspiracy detection. Specifically, the goal is to detect whether a Reddit comment expresses a conspiracy belief. Our submitted mdok-style system utilizes data augmentation and self-training (to cope with a rather small amount of training data) to finetune the Qwen3-32B model for a binary text-classification task. The submitted system is very competitive, ranking in the 85th percentile (8th out of 52 submissions). The results shown that our approach, which originated in machine-generated text detection, can be used for conspiracy detection as well.
format Preprint
id arxiv_https___arxiv_org_abs_2605_02712
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection
Macko, Dominik
Computation and Language
Artificial Intelligence
SemEval-2026 Task 10 is focused on conspiracy detection. Specifically, the goal is to detect whether a Reddit comment expresses a conspiracy belief. Our submitted mdok-style system utilizes data augmentation and self-training (to cope with a rather small amount of training data) to finetune the Qwen3-32B model for a binary text-classification task. The submitted system is very competitive, ranking in the 85th percentile (8th out of 52 submissions). The results shown that our approach, which originated in machine-generated text detection, can be used for conspiracy detection as well.
title mdok-style at SemEval-2026 Task 10: Finetuning LLMs for Conspiracy Detection
topic Computation and Language
Artificial Intelligence
url https://arxiv.org/abs/2605.02712