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Matthew Boot, Eric Oden, Dhruv Patel, Ashok Choudhary


Our model uses temporal, user, and language data to predict if a post will go viral. We found that text data from the title and body had the greatest explanatory value, followed by temporal data, and then user data. Furthermore, our exploratory analysis revealed posts submitted in the early morning have a much higher chance of going viral.

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