BIG DATA ANALYTICS FOR IDENTIFYING BOTS IN SOCIAL MEDIA TWEETS USING CLOUD COMPUTING

Abstract

The rise of social media has led to an increased presence of automated bots that spread
misinformation, manipulate trends, and engage in malicious activities. Identifying and filtering
such bots is a critical challenge that requires advanced analytical techniques. Big Data Analytics,
combined with Cloud Computing, provides a scalable and efficient solution for detecting bots in
social media tweets. This study focuses on leveraging machine learning algorithms and real-time
data processing frameworks to analyze tweet patterns, user behavior, and engagement metrics to
distinguish between human and bot accounts. The proposed system integrates cloud-based Big
Data tools to enhance the accuracy and efficiency of bot detection, ensuring a more secure and
authentic social media environment.