AI- Based Detection of Emotional and Social Manipulation in Digital Communication

In the digital age, emotional manipulation and online fraud have become increasingly sophisticated, often going unnoticed in everyday communication.From gaslighting and guilt-tripping to impersonation and financial scams, deceptive behavior exploits trust and emotional vulnerability.Traditional spam filters and fraud detection systems rely heavily on keywords and fail to interpret tone, intent, or subtle behavioral cues.This research proposes an AI-based model that uses Natural Language Processing (NLP), sentiment analysis, and conversational pattern recognition to detect manipulation and fraudulent intent in real-time digital communication.The system monitors tone shifts, repeated persuasive triggers, and inconsistencies in messages to identify potential deception.Once detected, it can alert users with discreet prompts, helping them recognize and respond to manipulative or fraudulent behavior early.By combining emotional intelligence with artificial intelligence, this study aims to enhance digital safety, protect users from emotional and financial harm, and promote more authentic online interactions.