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LLM-generated content is rapidly growing on the web, study finds

A new research paper introduces DeGenTWeb, a system designed to systematically identify websites dominated by content generated by large language models (LLMs) with minimal human oversight. The study found that LLM-dominant websites are surprisingly prevalent across the web, appearing frequently in both Common Crawl data and Bing search results, and their proportion is increasing. The research also highlights the difficulty in accurately detecting LLM-generated content, as current detection methods perform worse than advertised when trying to minimize false attributions. AI

影响 Highlights the growing prevalence of LLM-generated content online and the challenges in detection, impacting content moderation and search.

排序理由 Academic paper introducing a new methodology and findings about LLM-generated content on the web.

在 arXiv cs.LG 阅读 →

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LLM-generated content is rapidly growing on the web, study finds

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  1. arXiv cs.LG TIER_1 English(EN) · Sichang Steven He, Calvin Ardi, Ramesh Govindan, Harsha V. Madhyastha ·

    DeGenTWeb: A First Look at LLM-dominant Websites

    arXiv:2605.00087v1 Announce Type: cross Abstract: Many recent news reports have claimed that content generated by large language models (LLMs) is taking over the web. However, these claims are typically not based on a representative sample of the web and the methodology underlyin…