• Govind Singh Mahara
• Sharad Gangele
• Pallavi Suryavanshi

Social Media have become ubiquitous in modern society, serving as platforms for social interaction, information sharing, and collective problem-solving. However, the dynamic and complex nature of these communities also presents challenges in detecting behavioral anomalies that may indicate malicious activities, spam, or other disruptive behaviors. Traditional rule-based approaches often struggle to handle the uncertainty and imprecision inherent in human behavior, necessitating the exploration of soft computing techniques for more effective anomaly detection. This research paper explores the application of soft computing techniques, such as fuzzy logic, genetic algorithms, and neural networks, for detecting behavioral anomalies in online social communities. The paper emphasizes the importance of handling uncertainty and imprecision in behavioral modeling and provides a comprehensive review of existing techniques, their advantages, and limitations. Real-world applications of soft computing in anomaly detection for Social Media are discussed, and future research directions are proposed.

Soft computing, anomaly detection, behavioral analysis, Social Media, fuzzy logic, genetic algorithms, neural networks, hybrid models, misinformation detection, fraud prevention, explainable AI, scalability, data mining techniques, cybersecurity, real-world applications

"The Role of Soft Computing in Behavioral Analysis for Anomaly Detection in Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 1, page no.271-276, January-2025, Available :http://www.jetir.org/papers/JETIRGS06032.pdf

"The Role of Soft Computing in Behavioral Analysis for Anomaly Detection in Social Media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 1, page no. pp271-276, January-2025, Available at : http://www.jetir.org/papers/JETIRGS06032.pdf