Google explains how it uses Machine Learning to keep content contributed to Google by Maps users from being fraudulent and bogus.
about how it keeps information on Google Maps"reliable." Google writes,"In a world that’s constantly changing, it’s important for Google Maps to give you the freshest, most up-to-date information possible — so you can know whether the restaurant down the street from you reopened or if your neighborhood grocery store has curbside pickup. One way we do this is through contributed content.
Last year, Google was able to update information for 30% more business than the number it revised the year before. Using Machine Learning tools it blocked over 100 million fraudulent edits from going live by using ML technology to find malicious bots and abusive edits. Earlier in this article, we mentioned how competitors could potentially post negative comments and reviews to damage a targeted store or business. Google itself alludes to this in his blog post by stating,"We also saw individuals and groups attempt to use fake reviews as a tactic to hurt local businesses — oftentimes spurred by public attention on differences in opinions.
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