Identifying Reviews that have a high chance of removal per TOC of review site
Look for ways to possibly identify if a review is fraudulent or has the possibility of being removed if flagged due to violations of the TOC on a particular review site. This will allow our teams to quickly know which ones they should focus on to get removed rather than guessing.
Example: ApartmentRatings will not remove a review just because a name is in the review. This would score as low
Google: There are no words just generic (refdfuyiortek) with a score of 1. This most likely would get removed if flagged.
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Jaemi Carkin
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Anonymous
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Great idea!