The use of Artificial Intelligence (AI) and the growing impact of social media platforms such as Twitter, Facebook, and Instagram have significantly changed how people invest in financial markets. AI tools, like sentiment analysis and machine learning, help investors make better decisions by analyzing real-time opinions and emotions shared on social media. Platforms like Twitter, Reddit, Facebook, and Instagram often drive market trends by influencing public sentiment, which can lead to emotional or irrational investment decisions. This study examines how AI can be utilized to analyze social media content, to understand its impact on shaping investment behavior. The paper focuses on how AI can help investors make more informed decisions, reduce emotional biases, and manage risks effectively. By examining how sentiment from social media influences short-term market fluctuations, the research investigates how AI can improve decision-making and counter the spread of rumors or misleading information. Ultimately, the study aims to demonstrate how AI tools can support investors in making more rational, data-driven choices while mitigating the impact of irrational behaviors often amplified by social media platforms such impact of irrational behaviors often amplified by social media platforms such as Twitter, Facebook, and Instagram.

Keywords: Artificial Intelligence, Social Media, Investment Behavior, Sentiment Analysis, Machine Learning, Social Media Behavioral Finance, Risk Management, Social Media Platforms (Twitter, Facebook, Instagram).

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