If we compare their reviews with those of other reviewers

If we compare their reviews with those of other reviewers, we see a similar pattern: reviews appear in large geographic areas5 , companies that often have spammy names6 , they often work in a service industry where there is a lot of spam7 , reviewers often review similar types of services in different places8 , and reviews contain conflicting life stories and fake personalities9. So I don’t think companies should be penalized for fake reviews, but Google should definitely improve its review filter. Who do users allow fake reviews for? It’s not just Google’s problem, I see the same companies listed here with shiny reviews on Groupon, Superpages, YP and other sites. If paid links are objectionable to Google, why are paid reviews accepted or allowed? The problem with fake reviews is that consumers can be exploited when real negative reviews are suppressed by 90 fake 5-star reviews. Once it becomes clear that Google is punishing companies whose reviews follow a recognizable pattern, you can be sure that those same companies can develop negative SEO campaigns to “punish” innocent companies. Google has banned fake reviews in the past, but I think it’s time to punish the companies that do as well. I would be happy to contact Google to report fake reviews that a competitor has posted on their profile.” Sorry, back to your article. You’d think Google would fight these fake reviews. If the cussing violates Google’s terms of service, why would a user report it to Google? I reported the Kim Jong-un reviews and the user posted even more vulgar comments. Fake reviews are bad, but businesses with 20, 50 or 150 fake reviews are even worse. I hope there will be a system to make it easier for businesses to report fake 4- and 5-star reviews to avoid a penalty. There are some overlaps, but with just these initial results and a few reviewers, we’re talking about 1,200 companies and maybe 25,000 fake reviews. Life is too short to figure it all out, but if I had to guess, I would estimate the number of companies at hundreds, if not thousands, and the number of fake reviews at tens, if not hundreds, of thousands. But if there is a pattern of the same reviews appearing in the same time period for the same companies, it’s not just a coincidence.