cs.CLMay 4, 2026

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

Authors: Dominik Macko

Organizations: Kempelen Institute of Intelligent Technologies, Bratislava, Slovakia

Abstract

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.

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