Multimodal fake news dataset Weibo23

We propose a more challenging dataset known as Weibo23. By amalgamating all available fake news from the Weibo Management Community until March 2023 with existing samples from public datasets [1], we formed a comprehensive collection of fake news for Weibo23. Fabricated news articles were thoroughly examined and authenticated by certified experts. [1] Q. Nan, J. Cao, Y. Zhu, Y. Wang, and J. Li, ‘‘Mdfend: Multi-domain fake news detection,’’ in Proceedings of the 30th ACM International Conference on Information & Knowledge Management, ser. CIKM ’21. New York, NY, USA: Association for Computing Machinery, 2021, p. 3343–3347. [Online]. Available: https://doi.org/10.1145/3459637.3482139本团队提出了一项更具挑战性的数据集，命名为Weibo23。通过整合截至2023年3月所有来自微博管理社区的虚假新闻以及公开数据集中已有的样本[1]，构建了一个关于Weibo23的全面虚假新闻集合。所有虚构的新闻文章均经过认证专家的详尽审查与核实。[1] Q. Nan, J. Cao, Y. Zhu, Y. Wang, and J. Li, ‘‘Mdfend: Multi-domain fake news detection,’’ in Proceedings of the 30th ACM International Conference on Information & Knowledge Management, ser. CIKM '21. New York, NY, USA: Association for Computing Machinery, 2021, p. 3343–3347. [Online]. Available: https://doi.org/10.1145/3459637.3482139

搜集汇总

背景与挑战

背景概述

该数据集是一个多模态假新闻数据集，名为Weibo23，专注于微博平台的假新闻检测。它通过整合截至2023年3月的微博管理社区假新闻和现有公共数据集样本，形成了一个全面的假新闻集合，所有内容均经过认证专家审查和验证。数据集包含图像、文本和标签数据，格式为*.jpg、*.json和*.csv，适用于人工智能、机器学习和社会科学等领域的研究。