# Domain concentration across ordinary search results | Dead Internet Theory

Dead Internet Theory: Search results can repeatedly surface a small set of domains even when the underlying web is much broader, shaping discovery without proving that the wider web lacks alternatives.

2026-08-09
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Switchboard Tech Services


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Part of the [Dead Internet Theory Series](https://switchboardtechservices.com/articles/dead-internet-theory-series/).

The web can contain a million pages while a search result shows you ten.

That compression is unavoidable. Search engines have to rank. The interesting question is which domains keep surviving the compression.

If a handful of large sites appear repeatedly across ordinary queries, users can experience the web as far more concentrated than the underlying collection of websites actually is.

That is where **Algorithmic Reality — The Internet You Are Allowed to See** begins.

## Concentration is visible across many queries, not just one

One search results page is a weak sample.

A query for a specific company should reasonably return that company's site several times. A technical query may be dominated by the official documentation. A breaking-news query may favor a small group of publishers because they have current reporting.

The more useful test is horizontal: run many queries in a defined category, record the domains that appear, then ask how much of the available result space is occupied by the same publishers.

A 2024 audit of Google Search news results across Brazil, the United Kingdom, and the United States analyzed more than 220,000 results and reported substantial concentration among a limited group of outlets. The researchers specifically used concentration measures such as the Herfindahl-Hirschman Index and Gini coefficient rather than judging diversity from a few screenshots. See [Auditing Google's Search Algorithm: Measuring News Diversity Across Brazil, the UK, and the US](https://arxiv.org/abs/2410.23842).

Google itself has acknowledged the problem category for years. In a 2012 search-quality update it described a change called **Domain Crowding** intended to surface a more diverse set of domains when too many results came from the same site. Search systems have continued to use site-diversity mechanisms since then.

The existence of such mechanisms tells us something important: relevance and source diversity are not automatically the same objective.

## Concentration is not automatically bad

A domain appearing repeatedly may deserve to appear.

Official documentation can be better than ten scraped copies. A specialist site may dominate a narrow subject because it genuinely has the strongest material. A local query may reasonably favor a few authoritative local sources.

That is why domain concentration alone cannot measure search quality.

It also cannot tell us how diverse the entire accessible web is. Search results are a ranked selection from an index, and the index itself is already a selection from the web.

What concentration does measure is **exposure**.

If five large domains collectively occupy half the first-page positions across thousands of queries, those domains receive repeated opportunities to be discovered while thousands of smaller sites receive none.

## Discovery creates its own reality

This matters because most users do not inspect the whole index. They interact with the ranked surface.

A site can exist, remain technically accessible, and publish excellent material while being practically invisible to anyone who relies on ordinary search discovery.

That is a different kind of internet disappearance from deletion.

The page is still there.

The algorithmic city map simply stopped putting a road through its neighborhood.

Part of the [Dead Internet Theory Series](https://switchboardtechservices.com/articles/dead-internet-theory-series/).

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Canonical URL: https://switchboardtechservices.com/articles/dit-domain-concentration-across-ordinary-search-results/

Language: en-us

Content type: article

Author: Switchboard Tech Services

Published: 2026-08-09T12:19:22+00:00
