![](https://d3qjle651ffvx1.cloudfront.net/brioche/chapter/capstone-twitterx-viral-tracking-rt01GG.png)
Data Analysis · Level 2
2.2 Case Study: Going Viral on X
In this case study for Introduction to Probability, you’ll leverage probability to explore how posts go viral on X—and identify which posts are real (and which are probably fake).
Influence Probabilities
Simulation I
Updating the Influence Probabilities
Simulation II
Twitter Bots
Using Tweet Features
A Simple Classifier
Course description
Using X (Twitter) data and probability, discover which tweets have the potential to go viral, and which don't. Then use the same data to determine if bots or humans are more likely to write fake news.
Topics covered
- Estimating
- Probability
- Rule of Sum
- Rule of Product
- Conditional Probability
- Bayes' Rule
- Dependence and Independence
- Probability
- Estimates
- Updating
- Probabilities
- Probability Simulation
Prerequisites and next steps
Highly recommended to take after completing Introduction to Probability.
Up next
3.1 Predicting with Probability
Harness data to predict what lies ahead.
Jump ahead