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How does that work though? Doesn't this method just return negative results by definition? There are a lot of results confirming that "apple sucks" or "toyota s

• joe_the_user 16y ago
  You then have to read the review and see the content. You contrast "one star, it doesn't this obscure thing it didn't to do but otherwise it's great" versus "one star, it fell apart in three days, seriously" and get the idea. It's a constant battle, altogether. Hopefully, the Internet will continue to be deeper than the scamsters' ability to game. And hopefully Google will keep helping in this regard.
• praptak 16y ago
  Of course it returns negative results. The key is not to take them blindly. If they mention specific facts (extra bonus for verifiable ones), do not sound like ones written by poopheads or mass produced by competition, then it's a very strong red flag. Things like unfavorable terms of service or checked-by-default, hard-to-notice checkboxes subscribing you to worthless additional services are easy to verify, even if you give zero trust to anonymous reviews.
• mattmcknight 16y ago
  And can it recognize a double negative, as in, "all of these Apple sucks sites suck"? If you can do decent sentiment analysis though, you could lower the page rank granted by a link by sentiment of text in its proximity, while not lowering the rank of the page that contains the negative sentiment.