social media platforms are currently the main channel for political
messaging, allowing politicians to target specific demographics and adapt based
on their reactions. However, making this communication transparent is
challenging, as the messaging is tightly coupled with its intended a
本文提出了一个启发式方法来将社交媒体帖子分类为五个不同的政治倾向类别，通过在 Twitter 和 Gab 这两个具有不同政治意识形态的社交媒体数据集上利用现有时间序列预测模型，我们的工作旨在为预测社交媒体平台中的政治偏见的挑战和机会提供启示，最终要为在数字领域减轻政治偏见的负面影响开发更有效的策略铺平道路。