Hi everyone, co-author of the paper here. I wanted to clarify the 20% figure. We actually have no way of telling how many, or which reviews are fake. We do not directly observe review fraud, and we clearly spell this out in the paper. The 20% figure represents the percentage of filtered reviews on Yelp. These are reviews that Yelp finds suspicious enough to not publish. Some filtered reviews may be fake, and some might just be false positives. Similarly, Yelp's filter might miss some fake reviews, and end up publishing them. (See <a href="http://www.yelp.com/faq#filter_wrong" rel="nofollow">http://www.yelp.com/faq#filter_wrong</a>). I hope this makes the distinction between fake and filtered clear.<p>Our main goal with this paper was to analyze the economic incentives behind review fraud, and for this we used filtered reviews as a proxy for fake reviews. bobf provides a good summary of our key findings so I won't repeat them. For those interested, you can read more here: <a href="http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2293164" rel="nofollow">http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2293164</a>