
I am building an automated review moderation agent that classifies new reviews using only the text and star rating. Since the true state (genuine vs. fake/sabotage) is hidden, the agent has to make decisions under uncertainty.
From a store owner’s perspective:
- Which mistake hurts your business more: a False Positive (the agent incorrectly hides a real customer’s 5-star review) or a False Negative (the agent fails to hide a fake 1-star competitor review)?
- What threshold of uncertainty should trigger sending a review to a human manager (“warn/review queue”) rather than taking auto-action?
submitted by /u/mintlite4
[link] [comments]

