Internet Social Debates
收藏arXiv2025-09-30 收录
下载链接：
http://nldslab.soe.ucsc.edu/iac/v2/
下载链接
链接失效反馈官方服务：
资源简介：
该数据集旨在通过分析社交媒体辩论话题下的在线帖子，预测人们对某一辩论主题的支持（‘for’）或反对（‘against’）立场。数据集包含的帖子经TF-IDF向量提取文本和标题特征。规模上，数据集包含6662个帖子，约25000个两种类型的关系。任务类型为二分类。
This dataset is designed to predict people's supporting ('for') or opposing ('against') stances toward a debate topic by analyzing online posts under social media debate topics. Text and title features are extracted from the included posts via TF-IDF vectorization. The dataset comprises 6,662 posts and approximately 25,000 relationships of two types. The corresponding task is a binary classification task.
提供机构：
UCSC
