Here’s a quick summary of the main points, I copied from the deleted Wired article [0].
Something important about it is this article, by Megan Gray was in Wired’s Opinion section which usually means the writer has more freedom to express their own opinions, and Wired does not claim this it is accurate reporting. But still it was removed.
How Google Alters Search Queries to Get at Your Wallet
Testimony during Google’s antitrust case revealed that the company may be altering billions of queries a day to generate results that will get you to buy more stuff.
RECENTLY, A STARTLING piece of information came to light in the ongoing antitrust case against Google. During one employee’s testimony, a key exhibit momentarily flashed on a projector … [1]
This onscreen Google slide had to do with a “semantic matching” overhaul to its SERP algorithm. When you enter a query, you might expect a search engine to incorporate synonyms into the algorithm as well as text phrase pairings in natural language processing. But this overhaul went further, actually altering queries to generate more commercial results …
The “10 blue links,” or organic results, which Google has always claimed to be sacrosanct, are just another vector for Google greediness …
Google likely alters queries billions of times a day in trillions of different variations. Here’s how it works. Say you search for “children’s clothing.” Google converts it, without your knowledge, to a search for “NIKOLAI-brand kidswear,” making a behind-the-scenes substitution of your actual query with a different query that just happens to generate more money for the company, and will generate results you weren’t searching for at all …
[0] Complete article here - https://news.ycombinator.com/item?id=37802265
[1] A link to the actual slide, that she saw. This image was supplied later by Google apparently - https://news.ycombinator.com/item?id=37802302
Edit: my opinion is Google should respond to the accusations. Removal of the article without a detailed explanation looks real bad for Google and also for Wired