Google Search to Roll Out Update to Combat Link Spam in December 2022

December 14, 2022

On Wednesday, December 14, 2022 Google launched the December 2022 Link Spam Update in an effort to leverage the power of its AI-based spam-prevention system, SpamBrain. The update is designed to detect both sites buying links and sites used for passing outgoing links. The update will take about two weeks to fully roll out and will affect all languages. Links obtained primarily for artificial manipulation of Search rankings are considered link spam and will be nullified by Google's algorithms and manual actions. If any unnatural links are detected, any credit passed by these links will be lost in terms of ranking. If you come across sites that engage in inorganic link building please report them to Google at or look up their spam policies at for more information. Additionally, if you have any specific feedback regarding this update please post it on Google's help community at for further assistance.

In this post, Duy Nguyen, Ildar Akhmedyanov, Jacob N Scott, and Karthikgeyan Elangovan have presented a comprehensive overview of distributed deep learning (D2L). D2L is quickly becoming an essential tool for companies who rely on the scalability and flexibility of training their machine learning (ML) models. The authors discuss the benefits of D2L and provide an analysis to compare it with traditional single-machine training techniques. They also describe the various frameworks available for implementing D2L in production environments. Finally, they highlight potential challenges associated with scaling deep learning models, such as data partitioning and communication costs. Overall, this post provides a valuable reference point for anyone interested in understanding how to benefit from distributed deep learning architectures.

Google Search to Release Link Spam Update in December 2022
On Wednesday, December 14th, 2022, Google announced an update to its AI-based spam-prevention system called SpamBrain. This update will use SpamBrain to detect and neutralize the impact of unnatural l...
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Enhancing Quality Rater Guidelines: Expanding E-A-T to Include Experience
The concept of E-A-T (Expertise, Authoritativeness, and Trustworthiness) has been used by many creators to evaluate if their search ranking systems are providing helpful and relevant information. To f...
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