misinformation

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AI Is Eating Website Traffic, Websites Are Blocking AI: Reliable Information Is Getting Harder to Find

On 31 August 2026 Dana McKay and Damiano Spina of RMIT University argued in The Conversation that the web’s thirty-year deal between crawlers and websites has collapsed: AI crawlers take content to train models and write answers while sending almost no traffic back, reputable publishers respond by blocking them, and AI answers increasingly draw on the low-quality and AI-generated sites that do not block. This piece sets out their argument, the Pew, Wikipedia and Cloudflare data behind it, the three peer-reviewed studies that show the quality trap is real, Cloudflare’s 15 September default block, pay-per-use and licensing, and what readers and UK businesses should do now.

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Veracity Reveals the Sources Behind Its AI Fact Checks With 0-100% Reliability Scores

Veracity is an open-source fact-checking system from Montreal’s Complex Data Lab that pairs a large language model with a web retrieval agent and refuses to answer without showing its evidence. Every claim comes back as a reliability score between 0% and 100%, a plain-English interpretation, a share recommendation gated at 60%, and a panel listing every source consulted along with its documented credibility. This breakdown covers the five-stage pipeline, the stack behind it, why the 60% cutoff is the most questionable decision in the design, what independent benchmarks say about the roughly 83% real-world accuracy ceiling for automated fact-checking, and how to evaluate any claim-scoring layer before you let it near a workflow.

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