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Google’s machine learning algorithm removes 170 million fake reviews

In a significant crackdown on fraudulent online activity, Google removed over 170 million fake reviews from Maps and Search in 2023, thanks to the deployment of a new machine learning algorithm. This algorithm, designed to identify and eliminate false reviews more efficiently, represents a major step forward in Google’s efforts to maintain the integrity and trustworthiness of its services.

The new machine learning algorithm allows Google to detect fake reviews by analyzing patterns of suspicious activity, such as repetitive reviews across multiple businesses or unusual spikes in ratings, at a pace previously unattainable.

The algorithm also plays a crucial role in thwarting scammers who promise businesses improved reviews and online presence for a fee, by identifying and refining patterns related to scam operations, helping to safeguard businesses from fraudulent practices.

The introduction of this algorithm has led to the removal of 170 million reviews that violated Google’s policies in 2023 alone, marking a 45 per cent increase from the previous year. Additionally, Google successfully identified and deleted 12 million fake business profiles and doubled its efforts in removing policy-violating videos, with 14 million taken down in the same year.

Google is also taking legal action against scammers, as demonstrated by a lawsuit filed against an individual responsible for creating over 350 fraudulent business profiles and attempting to sell consumer interactions derived from these fake profiles.

Sources include: TechSpot

Jim Love
Jim Love
I've been in IT and business for over 30 years. I worked my way up, literally from the mail room and I've done every job from mail clerk to CEO. Today I'm CIO and Chief Digital Officer of IT World Canada - Canada's leader in ICT publishing and digital marketing.

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Jim Love, Chief Content Officer, IT World Canada

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