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AI-generated text now comprises 35% of new websites, impacting semantic diversity

By PulseAugur Editorial · [2 sources] ·

A new study analyzing internet content between 2022 and 2025 found that approximately 35% of newly published websites were classified as AI-generated or AI-assisted by mid-2025. This surge in AI-generated text correlates with a decrease in semantic diversity and an increase in positive sentiment online. However, the research did not find statistically significant evidence that AI-generated text reduces factual accuracy or stylistic diversity, contradicting public perception. AI

IMPACT Quantifies the growing presence of AI-generated content online and its measurable effects on semantic diversity and sentiment.

RANK_REASON Academic paper published on arXiv detailing findings about AI-generated text on the internet.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI-generated text now comprises 35% of new websites, impacting semantic diversity

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Jonas Dolezal, Sawood Alam, Mark Graham, Maty Bohacek ·

    The Impact of AI-Generated Text on the Internet

    arXiv:2604.26965v1 Announce Type: cross Abstract: The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative developments (sometimes subsumed under the D…

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

    “We … find evidence suggesting that increases in AI-generated text on the internet bring about a decrease in semantic diversity and an increase in positive sent

    “We … find evidence suggesting that increases in AI-generated text on the internet bring about a decrease in semantic diversity and an increase in positive sentiment. We do not, however, find statistically significant evidence supporting the hypothesis that an increased rate of A…

    LINKS ai-on-the-internet.github.io

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