Social media forensics for Android devices focuses on extracting, analyzing, and interpreting digital evidence from social networking applications to support investigations while maintaining data integrity and privacy. Research in this area emphasizes developing automated and intelligent frameworks to handle the diversity of Android apps, frequent updates, and encrypted communications. Key topics include recovery and analysis of messages, multimedia content, and metadata from platforms such as WhatsApp, Facebook, Instagram, and TikTok; detection of deleted or tampered content; and authentication of digital evidence. Other significant areas involve machine learning–assisted sentiment and behavior analysis, anomaly detection in social interactions, and correlation of social media data with other mobile or cloud sources. Emerging directions explore privacy-preserving forensic analysis, AI-driven event reconstruction, standardized methodologies for evidence collection and preservation, and addressing challenges related to anti-forensic techniques, multi-account usage, and device heterogeneity. These research efforts aim to enhance accuracy, efficiency, and legal admissibility in Android social media forensic investigations.