Detect bots using comment distribution patterns

You are analyzing a social/video product where users can leave comments. You are told there may be **bot activity**. ### Prompt Using only behavioral data around comments (and related metadata), describe how you would: 1. Use **comment distribution** patterns to detect suspicious/bot-like behavior. 2. Define metrics/features and thresholds (or a model) to flag likely bots. 3. Validate your detection method and estimate false positives/false negatives. 4. Propose mitigations and how you’d measure impact after taking action. ### Considerations - Real users can also be “power users.” - Bots may coordinate across accounts and adapt over time. - Data issues: missing events, sampling, timezones, duplicated comments. ### Deliverable A structured plan including: feature ideas, statistical tests or modeling approach, evaluation/labeling strategy, and monitoring.