Multilingual Models for Check-Worthy Social Media Posts Detection

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The researchers proposed a detection method for multilingual social media posts, aimed at identifying content that requires manual review or verification. This study was published in the arXiv cs.CL preprint on September 7, 2026, focusing on improving the ability to assess the security and credibility of cross-language social media content.

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A arXiv cs.CL en 2026-09-07 12:00

本研究提出了一种多语言模型，用于检测包含可验证事实声明和有害声明的社交媒体帖子。研究涵盖数据集收集、预处理、架构选择、设置配置、微调训练、测试及实施等全流程。重点分析了不同模型性能，特别是能同时处理英语及阿拉伯语、保加利亚语、荷兰语、波兰语、捷克语、斯洛伐克语等多语言帖子的多标签多语言分类模型。实验结果经与最先进模型对比验证，证明了所提模型的鲁棒性。该工作的创新点在于开发了一种高效的多标签多语言分类模型，可同步检测有害帖子及含可验证事实声明的帖子。