The 2024 US Presidential Election witnessed unprecedented levels of information manipulation across alternative social media platforms. While research on mainstream platforms is extensive, coordinated inauthentic behavior (CIB) on alternative networks remains understudied despite its growing impact on public discourse. This study investigates coordinated inauthentic behavior (CIB) across five platforms: Telegram, Gab, VK, Minds, and Fediverse. It primarily aims to identify to identify platform-specific coordination strategies, analyze cross-platform information flows, and develop robust detection methodologies. Using the Open Measures API, the overall exploration leverages a dual methodology comprising URL Similarity Networks (USN) and Text Similarity Networks (TSN) to identify coordinated actors. The analysis revealed distinct CIB strategies: Pro-democratic messaging on Fediverse (47 users); Echo chambers on Gab (35 users); Conspiracy amplification on Minds (5 users); Russian propaganda on VK (22 users); Hierarchical distribution on Telegram (13 channels). Cross-platform analysis revealed 159 coordinated actors operating across multiple networks. These findings highlight the role of alternative platforms in influence operations, each exhibiting unique coordination patterns influenced by their technical features and user behaviors. This research enhances methodologies for detecting CIB and informs governance strategies aimed at protecting electoral integrity.

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