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This thesis presents a comprehensive digital forensic analysis of emerging and alternative social media platforms, including Truth Social, Threads, Bluesky, Nextdoor, and Neighbors. These platforms, which range from politically aligned alt-tech networks to hyperlocal neighborhood apps, present unique forensic challenges and security vulnerabilities. Across all case studies, established forensic techniques were applied using a hybrid methodology combining mobile device analysis, network traffic monitoring, and API interrogation. Findings include the discovery of plaintext credentials, session tokens, and other sensitive artifacts, particularly in platforms with weaker security postures such as Truth Social, Bluesky, Nextdoor, and Neighbors. Threads, by contrast, demonstrated greater resilience through encrypted network communications and a more secure API structure. A Python script exploiting discovered tokens in neighborhood apps is also included. By detailing the methodologies and results of these investigations, this work provides a foundational reference for future forensic analysts and highlights the urgent need for improved security and forensic readiness in the design of contemporary social media platforms.