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.

翻译：SemEval-2026任务10聚焦于阴谋论检测。具体而言，目标是判断某Reddit评论是否表达了阴谋论信念。我们提交的mdok-style系统利用数据增强和自训练（以应对训练数据量较少的情况），对Qwen3-32B模型进行微调，用于二分类文本分类任务。该提交系统表现极具竞争力，排名位于第85百分位（在52个提交中位列第8）。结果表明，我们最初源于机器生成文本检测的方法，同样可应用于阴谋论检测。