Predicting Virality of Tweets Using ML Algorithms and Analyzing Key Determinants of Viral Tweets

Social media is no longer just a medium for socialization but has become a medium for business. There has been an exponential growth of user-generated content in both volume and significance. Researchers have studied the behavioral side of social media, reviews, and social network communities. Some researchers have analyzed tweets and found that only the content with strong negative emotions gets retweeted. There is a lack of research focusing on other factors like the length of a tweet, user's follower counts, etc., affecting the success of a tweet. Advancements in technology help us to use machine learning algorithms to predict if the post will go viral or not. This research paper also finds and verifies the key determinants that contribute to a tweet's success. This paper also concludes with the most appropriate machine learning model for predicting the Virality of a tweet.