AMMEBA

AMMEBA数据集是由谷歌等机构创建的一个大规模的媒体基础错误信息调查数据集，专注于自然环境中的图像基础错误信息。该数据集包含135,838条经过事实检查的错误信息声明，主要关注图像在错误信息声明中的作用。数据集的创建旨在评估现实环境中错误信息缓解方法的有效性，并作为在线错误信息类型和模式的首次普查。AMMEBA数据集的应用领域包括错误信息研究、媒体分析和在线内容的真实性验证，旨在解决媒体错误信息的识别和对抗问题。

The AMMEBA dataset is a large-scale media-based misinformation survey dataset developed by Google and other institutions, focusing on image-based misinformation in real-world natural environments. It encompasses 135,838 fact-checked misinformation claims, with a primary focus on the role that images play in these claims. The dataset was created to evaluate the effectiveness of misinformation mitigation approaches in real-world scenarios, and acts as the first comprehensive census of online misinformation types and patterns. Its application domains include misinformation research, media analysis, and authenticity verification of online content, with the core objective of addressing the challenges of media misinformation identification and counteraction.