He also recently reported how review spammers are using ChatGPT to generate fake reviews for Google Maps. Just the other day, Jason Brown how hotels are being spammed with fake positive reviews and the hotel managers are nervous what this might result in. (2) Google also added a new machine learning model to detect scammers who overlayed inaccurate phone numbers on top of user-contributed photos to scam searchers to call the numbers in the phone number and not the official business phone number. (1) Google said they released a new “machine learning model” that helped them “identify novel abuse trends many times faster than previous years.” This helped them find a sudden uptick in Business Profiles with websites that have. Google also added two new machine learning-based techniques to help detect and prevent spam in Google Maps. Prevented 20 million attempts at creating fake Google Business Profiles.Blocked or removed over 7 million videos.Blocked or removed over 200 million photos.Blocked or removed over 115 million policy-violating reviews (20% more than last year).Here are some of the statistics Google shared on how it fought Google Maps spam in 2022: Here is some of the figures Google shared of those efforts, but was it enough? Google has released some information on its efforts to combat fake content and reviews in Google Maps and local search. Did you know Google can now detect if scammers are overlaying fake phone numbers in user-contributed photos within Google Maps and automatically detect and block those photos from displaying on business listings within the local search results?
0 Comments
Leave a Reply. |