Relationship of Factors that Determine Tweet Virality

This paper addresses a growing dilemma: As Twitter becomes ever more influential in the modern landscape, predicting what will go viral can help in the discovery and pushing of new ideas and mitigation of risks associated with online networking.

How can Artificial Intelligence predict the popularity of posts on Twitter (X)? Twitter’s development in mainstream media has been profound, and as the platform increases more overtime, so does the need for predicting virality of tweets on the platform for opinionation. This paper addresses a growing dilemma: As Twitter becomes ever more influential in the modern landscape, predicting what will go viral can help in the discovery and pushing of new ideas and mitigation of risks associated with online networking. We provide an extensive analysis over a dataset consisting of user data and tweet data to compute a virality rating. Using a learning model, we managed to achieve a maximum of 67.32% accuracy on predicting virality based on all user data based on a 1-5 scale ranking.

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