THE IMPACT OF AI-GENERATED CONTENT ON SOCIAL MEDIA ENGAGEMENT AND USER BEHAVIOR

Abstract

In today's digital landscape, social media has become an integral part of our lives, shaping how we interact, share information, and consume content. The introduction of AI-generated content has opened new avenues for social media platforms to enhance user experience and interaction. However, this phenomenon has also raised concerns about its influence on user behavior and engagement. With the ability to generate content automatically, AI has been extensively used in social media platforms. AI has the ability to personalize content, tailor recommendations, and predict user preferences. Through a comprehensive analysis of existing literature, this research will focus on analyzing the different types of AI-generated content and their effects on user engagement metrics such as likes, shares, comments, and followership. It will also explore how personalized experiences influence user behavior, including content consumption patterns, time spent on platforms, and overall satisfaction. This research will provide valuable insights into user perceptions and attitudes towards AI-generated content by analyzing engagement metrics, and contribute in enhancing user experiences in the ever- evolving digital realm while ensuring user trust and transparency.