Google Tackles AI Spam in Discover Feed: A Promised Fix

```json
{
  "alt": "Illustration of an angry red creature in front of colorful abstract shapes and a large 'G'.",
  "caption": "A fierce red creature takes center stage, surrounded by a playful array of shapes and a striking 'G' logo behind it.",
  "description": "This vibrant illustration features a menacing red creature with sharp teeth and angry eyes, set against a dark background. Surrounding the creature are colorful, abstract shapes, including spheres in red, blue, and green, and miscellaneous objects. A large 'G' logo adds a focal point behind the creature. The mix of vivid colors and strong expressions creates a dynamic and engaging visual experience. Keywords: illustration, creature, abstract art, colorful, design."
}
```

After hearing numerous complaints about the quality of Google Discover, I’m interested to see how Google plans to tackle the issue of fake AI spam. They’ve assured us that a solution is in progress.

I’m aware that Google is taking steps to remedy the situation with its Discover feed, especially with the appearance of fake AI spam in recent weeks. Google confirmed to the Press Gazette, which has reported several instances of this spam infiltration, that a fix is actively being developed.

Google’s Assurance. In their words:

“We keep the vast majority of spam out of Discover through robust spam-fighting systems and clear policies against new and emerging forms of low quality, manipulative content. We’re actively working on a fix that will better address the specific type of spam that’s being referenced here, maintaining our high bar for quality in Discover.”

The AI Spam Issue. From what I’ve read, the Press Gazette has meticulously documented instances where fake news stories have garnered tens of millions of views on the Google Discover platform in just a week. Here’s a glimpse of some of these fake stories as reported:

```json
{
  "alt": "Collage of news headlines about UK pension and bank rule changes in 2025.",
  "caption": "Explore upcoming UK changes in pension, bank, and driving rules set for 2025. Stay informed on how these regulations might impact you.",
  "description": "A collage featuring various news headlines about upcoming UK regulatory changes in 2025. Headlines cover a range of topics including new pension rules, bank regulations for pensioners, and stricter driving test checks for elderly drivers. Reports highlight the Department for Work and Pensions (DWP) and HMRC as key institutions involved. With a mix of formal and urgent tones, these articles inform the public about significant financial and legal updates. Keywords include pension rules, DWP, UK driving rules, and HMRC."
}
```

It’s fascinating how spammers are allegedly buying expired domains with previously trusted reputations, exploiting their domain authority to flood Google Discover with spam content. This tactic isn’t novel, and while Google Search generally manages these tricks well, many believe this is currently how spammers manipulate the Discover feed.

French data journalist Jean-Marc Manach has been tracking this issue, building a comprehensive database of fake sites generating AI stories. His list now includes over 8,300 entries in French, 300 in English, and 150 in German.

Why It Matters to Me. As someone who values relevant and trustworthy content, I understand the potential impact of Google Discover’s reach. These fake sites can momentarily generate significant revenue, only to be shut down, after which others rise in their place. It’s a cycle that Google is inevitably working to break, though new challenges will likely emerge.


Inspired by this post on Search Engine Land.

FAQs

What issue is Google addressing in Discover?

The post discusses fake AI spam in Google Discover and its impact on content quality and trust.

What has Google promised to do about Discover spam?

Google says it is actively working on a fix to address the specific type of AI spam while maintaining Discover’s high quality.

Who is tracking the AI spam issue?

French data journalist Jean-Marc Manach is tracking the issue and has built a database of fake AI sites.

How many fake AI stories are listed in the database?

The database lists over 8,300 French entries, 300 English, and 150 German.

What inspired this post?

The post is inspired by a post on Search Engine Land.

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