One of the most widely used navigation services is Google Maps, which sees more than one billion monthly active users. The software company relies on content submitted by people around the world to keep Maps updated in addition to satellite photos.
Even though this technique is successful, con artists occasionally post false information for financial advantage. The business detailed how it is using machine learning to remove bogus content from Google Maps even before it has been posted in a recent blog post.
To help uncover fresh misuse tendencies, the tech giant updated its machine learning models last year. Google also provided a case study of how its machine learning algorithm helped analysts determine the legality of a website, remove it, and disable any related accounts after seeing a dramatic increase in the number of websites ending in.design or.top.
Scammers also deceive individuals by placing phoney phone numbers on top of legitimate ones, which ultimately leads to the victim dialing the con artist rather than the real company.
Using a “new machine learning model that could recognize numbers overlaid on contributed images by analyzing specific visual details and the layouts of photos,” Google claims it is exploiting contributed images. The new strategy is effective for Google Maps because much of such information is being removed even before it is published.
The business added that 20% more phoney reviews were blocked in 2022 compared to 2021 and that it had blocked over 115 million reviews that violated policy. Almost 200 million blurry or low-quality photographs and 7 million films were also blocked or removed thanks to the updated models. Also, in 2022, Google stopped 185,000 organizations and more than 20 million attempts to construct false business profiles after noticing suspicious activity.
