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Part Two of Google’s Announcement on Spam Update

Google Spam update part 2 being announced
Part 2 of Google’s spam update being announced

Google SearchLiaison announced that the Google company is carrying out its spam update in two parts, this was mentioned completely in a tweet on Twitter. The same as the first spam update, this update will conclude on the day that it is announced. “The second part of our spam update has begun today, and it will also conclude later today unless we share otherwise.” Danny Sullivan of Google tweeted that it is directly related to previous updates. “It’s all part of the same thing, just a second part.”

AI that fights spam:

Using artificial intelligence to fight spam has been a Google practice since 2020, as reported by Google SearchLiaison in their announcement from April 2021 (How we fought search spam on Google in 2020).

According to the announcement of the Spam AI: “By combining our deep knowledge of spam with AI, last year we were able to build our very own spam-fighting AI that is incredibly effective at catching both known and new spam trends. For example, we have reduced sites with auto-generated and scraped content by more than 80% compared to a couple of years ago.”

This announcement mentions spam sent by hacked websites as one of the spam types it addresses. The company said it’s not a problem that can be solved by itself and asked publishers to update their site software regularly to avoid hacking events. Google also listed the types of spam publishers should avoid in their webmaster guidelines.

Spams that affect Google:

A partial list of spam that affects Google includes Auto-generated content, Link schemes, Unoriginal content, Cloaking, Hidden text or links, Doorway pages, Scraped content, and Abusing structured data.

Google’s search results are heavily manipulated using link schemes. The development of methods for tricking websites into linking to websites has become a big business. Google’s AI may not be able to detect these types of link schemes, some of which were developed by supposedly white hat SEOs. Another “white hat” link-building scheme involves creating an informational site with a .org domain to represent it as a non-commercial website with information on a particular topic.

Once all the links are accumulated, the link builder puts a cross-domain rel canonical on the pages that collected them so Google will credit the commercial site with the link equity. In place of the fake non-commercial site, all links are now going to a commercial website. 

Using a broken pdf link scheme, the link builders identify popular government or non-profit PDFs that have been moved. Upon finishing this step, the link builder will set up a fake nonprofit website and redirect information that had previously been hosted on a government or non-profit website to the new site. Those websites are then contacted and asked to update all their links to the “new home” of the documents and information (which has become a broken link). As soon as the sites link to the new URLs on their fake dot org site, they redirect all the links to the client site.


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