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I'm sure number of votes and length of membership could be incorporated into some sort of algorithm to determine that?


How about a simple Bayesian classifier for legitimacy? Parameters: account open date, date of first comment, date of last comment, karma, std dev of time between comments.

Good for drawing crooked lines between accounts of a similar age, eg. there is a signature for legitimacy that appears on short (two day) and long (two year) time scales. Talk about specific thresholds seems misplaced when it can be computed from a small training sample.




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