AI生成內容氾濫 催生虛構期刊的創紀錄請求

AI生成內容氾濫 催生虛構期刊的創紀錄請求

Hacker News·

被稱為「AI Slop」的AI生成內容氾濫,正導致對虛構或不存在的科學期刊的請求創下紀錄。此趨勢凸顯了學術出版和AI生成研究驗證方面的挑戰。

December 8, 2025

2 min read

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AI Slop Is Spurring Record Requests for Imaginary Journals

AI Slop Is Spurring Record Requests for Imaginary Journals

The International Committee of the Red Cross warned that artificial intelligence models are making up research papers, journals and archives

By Dan Vergano edited by Claire Cameron

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Alexander Spatari/Getty Images

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Never heard of the Journal of International Relief or the International Humanitarian Digital Repository? That’s because they don’t exist.

But that’s not stopping some of the world’s most popular artificial intelligence models from sending users looking for records such as these, according to a new International Committee of the Red Cross (ICRC) statement.

OpenAI’s ChatGPT, Google’s Gemini, Microsoft’s Copilot and other models are befuddling students, researchers and archivists by generating “incorrect or fabricated archival references,” according to the ICRC, which runs some of the world’s most used research archives. (Scientific American has asked the owners of those AI models to comment.)

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AI models not only point some users to false sources but also cause problems for researchers and librarians, who end up wasting their time looking for requested nonexistent records, says Library of Virginia chief of researcher engagement Sarah Falls. Her library estimates that 15 percent of emailed reference questions it receives are now ChatGPT-generated, and some include hallucinated citations for both published works and unique primary source documents. “For our staff, it is much harder to prove that a unique record doesn’t exist,” she says.

This is not the first time AI has been caught making up false citations. The ICRC recommends that people consult online catalogs or references in existing published scholarly works to find references to real studies instead of assuming anything cited by an AI is real, no matter how authoritative it might sound. The Library of Virginia will be asking researchers to vet their sources for these requests, Falls says, and to disclose if a source originated from AI. “We’ll likely also be letting our users know that we must limit how much time we spend verifying information.”

Dan Vergano is senior editor, Washington, D.C., at Scientific American. He has previously written for Grid News, BuzzFeed News, National Geographic and USA Today. He is chair of the New Horizons committee for the Council for the Advancement of Science Writing and a journalism award judge for both the American Association for the Advancement of Science and the U.S. National Academies of Sciences, Engineering, and Medicine.

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