Social media platforms have become a hub for political activities and discussions, democratizing participation in these endeavors. However, they have also become an incubator for manipulation campaigns, like information operations (IOs). Some social media platforms have released datasets related to such IOs originating from different countries. However, we lack comprehensive control data that can enable the development of IO detection methods. To bridge this gap, we present new labeled datasets about 26 campaigns, which contain both IO posts verified by a social media platform and over 13M posts by 303k accounts that discussed similar topics in the same time frames (control data). The datasets will facilitate the study of narratives, network interactions, and engagement strategies employed by coordinated accounts across various campaigns and countries. By comparing these coordinated accounts against organic ones, researchers can develop and benchmark IO detection algorithms.

翻译：社交媒体平台已成为政治活动与讨论的中心，促进了公众参与的民主化。然而，这些平台也演变为操纵性活动（如信息操作）的温床。部分社交媒体平台已发布涉及源自不同国家的此类信息操作的相关数据集。然而，我们仍缺乏能够支持信息操作检测方法开发的全面对照数据。为弥补这一空白，我们提出了涵盖26项活动的新标注数据集，其中既包含经社交媒体平台验证的信息操作帖文，也收录了30.3万个账户在同一时间段内讨论相关主题的超过1300万条帖文（对照数据）。这些数据集将有助于研究不同活动与国家间协同账户所采用的叙事策略、网络互动及参与机制。通过将这些协同账户与自然账户进行对比，研究人员能够开发并评估信息操作检测算法。