AI Based Detecting Deception in Online Interactions: An Analysis of the Dishonest Internet Users

Abstract

With the widespread adoption of the internet, online interactions have become an integral part of modern communication. However, this surge in digital interactions has also brought about a significant rise in deceptive practices, ranging from misinformation and fraud to identity theft and cyberbullying. Detecting and mitigating these dishonest behaviors has become a critical concern for maintaining trust and integrity in digital communities. The primary challenge lies in developing a robust and automated system capable of identifying deceptive content amidst the vast volume of online interactions. In the absence of advanced AI-based systems, deception detection in online interactions has heavily relied on manual monitoring, keyword-based filters