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title: Pew says 10% of the web now shows signs of AI authorship
description: Pew Research analyzed 10,000 random webpages in July 2026 and found about 10% carrying strong signs of AI authorship, rising to over a third among pages...
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og:description: Pew Research analyzed 10,000 random webpages in July 2026 and found about 10% carrying strong signs of AI authorship, rising to over a third among pages...
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# Pew says 10% of the web now shows signs of AI authorship

**[The Next Web](https://daily.dev/sources/tnw)** · 3 min read · 0 upvotes · 0 comments

## Summary

Pew Research analyzed 10,000 random webpages in July 2026 and found about 10% carrying strong signs of AI authorship, rising to over a third among pages published since ChatGPT's November 2022 launch. Commercial .com domains show roughly 10% AI authorship versus about 4.6% for .org and roughly 1% each for .edu and .gov, using nearly 500,000 Common Crawl pages classified with the Open Pangram detector. Common stylistic tells include doubled em dash usage since 2023, a 63% rise in Oxford commas, and words like 'delve' and 'pivotal' alongside phrasing like 'it's not just X, it's Y'. LinkedIn claims 94% accuracy detecting generic AI content, arXiv now bans researchers submitting unchecked AI text, and separate Graphite research found AI articles nearing half of newly published content while human-written pieces still dominate Google results and AI citations.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/pew-ai-authorship-web-pages-study>

## Questions this post answers

### What percentage of web pages show signs of being written by AI according to Pew's study?

Around 10% of a random sample of 10,000 webpages examined in July 2026 showed strong signs of AI authorship. Among pages published since ChatGPT's November 2022 release, that figure rises to more than a third. Commercial .com domains carry most of it at about 10%, compared to roughly 4.6% for .org and about 1% each for .edu and .gov.

_Teams weighing content authenticity or SEO strategy can follow AI authorship research like this on daily.dev._

### What tool did Pew use to detect AI-written web content and how reliable is it?

Pew classified nearly 500,000 English-language pages from the Common Crawl archive, spanning January 2021 to July 2026, using the Open Pangram detector, the same tool Substack adopted to catch machine-written newsletters. Individual document verdicts can be wrong, but the argument is statistical: patterns separate reliably across hundreds of thousands of pages even when any single classification might not.

_Anyone evaluating AI-detection tooling can track findings like these on daily.dev._

### What writing patterns indicate a webpage was likely written by AI?

Tell-tale signs include a doubling of em dash usage since 2023, a 63% increase in Oxford comma usage, frequent use of the words "delve" and "pivotal," and the construction "it's not just X, it's Y." These stylistic markers, cataloged in Pew's July 2026 analysis, are common enough across AI-generated text to serve as detectable signals alongside statistical classifiers.

_Writers and editors curious about spotting AI-generated text can follow this kind of research on daily.dev._

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---

Tags: [#genai](https://daily.dev/tags/genai), [#chatgpt](https://daily.dev/tags/chatgpt), [#seo](https://daily.dev/tags/seo)

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