The interoperability of data and intelligence across allied partners and their respective end-user groups is considered a foundational enabler to the collective defense capability--both conventional and hybrid--of NATO countries. Foreign Information Manipulation and Interference (FIMI) and related hybrid activities are conducted across various societal dimensions and infospheres, posing an ever greater challenge to the characterization of threats, sustaining situational awareness, and response coordination. Recent advances in AI have further led to the decreasing cost of AI-augmented trolling and interference activities, such as through the generation and amplification of manipulative content. Despite the introduction of the DISARM framework as a standardized metadata and analytical framework for FIMI, operationalizing it at the scale of social media remains a challenge. We propose a framework-agnostic agent-based operationalization of DISARM to investigate FIMI on social media. We develop a multi-agent pipeline in which specialized agentic AI components collaboratively (1) detect candidate manipulative behaviors, and (2) map these behaviors onto standard DISARM taxonomies in a transparent manner. We evaluated the approach on two real-world datasets annotated by domain practitioners. We demonstrate that our approach is effective in scaling the predominantly manual and heavily interpretive work of FIMI analysis, providing a direct contribution to enhancing the situational awareness and data interoperability in the context of operating in media and information-rich settings.

翻译：数据和情报在盟国伙伴及其各自终端用户群体间的互操作性，被视为北约国家集体防御能力（包括常规与混合防御）的基础性赋能要素。外国信息操纵与干扰（FIMI）及相关混合活动在多个社会维度和信息空间中展开，对威胁特征刻画、态势感知维持及响应协调构成了日益严峻的挑战。人工智能的最新进展进一步降低了AI增强型网络水军及干扰活动的成本，例如通过生成和放大操纵性内容。尽管DISARM框架作为FIMI标准化元数据与分析框架已被引入，但在社交媒体规模上实现其操作化仍面临困难。我们提出一种与框架无关的、基于智能体的DISARM操作化方法，以调查社交媒体上的FIMI活动。我们开发了一个多智能体流水线，其中专业化的智能体AI组件通过协作方式：（1）检测候选操纵行为，（2）以透明化方式将这些行为映射至标准DISARM分类体系。我们在两个由领域专家标注的真实数据集上对该方法进行了评估。结果表明，我们的方法能有效扩展当前以人工为主且高度依赖解读的FIMI分析工作，为提升在媒体与信息密集环境中的态势感知及数据互操作性提供了直接贡献。