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AI authorship detected on 10% of English-language webpages

By PulseAugur Editorial · [1 sources] ·

A study by the Pew Research Center indicates that approximately 10% of English-language webpages created in the past five years were substantially edited or written by AI. This analysis, conducted using the Open Pangram tool, found that AI authorship signs appear in over a third of pages published after ChatGPT's release. AI

IMPACT Indicates a significant increase in AI-generated content, potentially impacting information quality and authenticity online.

RANK_REASON Analysis of AI content authorship by a research center.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI authorship detected on 10% of English-language webpages

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Commentary
Analysis of AI content authorship by a research center.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
49 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    According to Pew Research Center, around 10 percent of 500,000 English-language webpages from the last five years were written or substantially edited by AI. Th

    According to Pew Research Center, around 10 percent of 500,000 English-language webpages from the last five years were written or substantially edited by AI. The organization determined this using a tool called Open Pangram, which checks text for language patterns, identifying wo…

    LINKS pewresearch.org/…/how-much-of-the-interne…

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