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Coordinated information operations remain a persistent challenge on socialmedia, despite platform efforts to curb them. While previous research hasprimarily focused on identifying these operations within individual platforms,this study shows that coordination frequently transcends platform boundaries.Leveraging newly collected data of online conversations related to the 2024U.S. Election across $\mathbb{X}$ (formerly, Twitter), Facebook, and Telegram,we construct similarity networks to detect coordinated communities exhibitingsuspicious sharing behaviors within and across platforms. Proposing an advancedcoordination detection model, we reveal evidence of potential foreigninterference, with Russian-affiliated media being systematically promotedacross Telegram and $\mathbb{X}$. Our analysis also uncovers substantial intra-and cross-platform coordinated inauthentic activity, driving the spread ofhighly partisan, low-credibility, and conspiratorial content. These findingshighlight the urgent need for regulatory measures that extend beyond individualplatforms to effectively address the growing challenge of cross-platformcoordinated influence campaigns.

Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election