In an effort to maintain the integrity of its platforms, Google has revealed that it blocked or removed over 170 million policy-violating reviews from Maps and Search in the past year. This feat was accomplished through the implementation of a new machine learning (ML) algorithm, which proved to be highly effective in combating fake reviews. The algorithm successfully identified and eliminated 45 percent more fabricated reviews compared to the previous year.
Google’s ML algorithm analyzes long-term signals on a daily basis, such as detecting patterns where a reviewer posts the same review across multiple businesses or when businesses experience a sudden influx of either 1-star or 5-star reviews. By examining these patterns, the algorithm can swiftly identify questionable reviews and take appropriate action.
Aside from tackling fake reviews, Google’s efforts extended to protecting business owners from fraudulent attempts by hackers. Over 2 million hacking attempts targeting Business Profiles were thwarted, a significant increase compared to the previous year. In addition, temporary protections were placed on more than 123,000 businesses after Google’s system revealed suspicious activities or abuse attempts.
The company remained vigilant in addressing other forms of policy violations on its platforms. Google’s video moderation algorithms were enhanced to detect fake overlaid phone numbers, leading to the identification of 14 million policy-violating videos in 2023. This marked an increase of 7 million compared to the previous year.
It is noteworthy that Google’s commitment to protecting businesses from fraudulent activities extends beyond technological solutions. In the face of malicious actors posting fake reviews and attempting to manipulate services for small businesses, Google even filed a lawsuit to safeguard the reputation and credibility of its platforms.
As businesses increasingly rely on digital platforms for consumer engagement, the importance of trust and authenticity cannot be overstated. With its ML algorithm and continuous improvements, Google is taking proactive measures to combat fake reviews, protect business owners, and ensure users can make informed decisions based on genuine feedback.
FAQ:
1. What did Google reveal about its platforms?
– Google revealed that it blocked or removed over 170 million policy-violating reviews from Maps and Search in the past year.
2. How did Google accomplish this feat?
– Google implemented a new machine learning (ML) algorithm that successfully identified and eliminated 45 percent more fabricated reviews compared to the previous year.
3. What signals does Google’s ML algorithm analyze?
– Google’s ML algorithm analyzes long-term signals on a daily basis, such as patterns where a reviewer posts the same review across multiple businesses or when businesses experience a sudden influx of either 1-star or 5-star reviews.
4. How did Google protect business owners from fraudulent attempts by hackers?
– Google thwarted over 2 million hacking attempts targeting Business Profiles, and temporary protections were placed on more than 123,000 businesses after detecting suspicious activities or abuse attempts.
5. What advancements were made in Google’s video moderation algorithms?
– Google enhanced its video moderation algorithms to detect fake overlaid phone numbers, resulting in the identification of 14 million policy-violating videos in 2023.
Key Terms/Jargon:
– Machine Learning (ML): A branch of artificial intelligence that enables systems to learn and improve from experience without being explicitly programmed.
Related Links:
– Google Maps
– Google Search
The source of the article is from the blog papodemusica.com