AI ‘News’ Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian

2024/01/01 by Giovanni Puccetti, Anna Rogers, Chiara Alzetta +3 · 2 voices · 6 citations
Mathematics · Social Sciences · #Computational and Text Analysis Methods #Computer science #Content (measure theory) #Data science #Information retrieval #Mathematics #World Wide Web

paper · pdf · open access · doi:10.18653/v1/2024.acl-long.817

openalex publication_date 2024/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/29

Abstract

Giovanni Puccetti, Anna Rogers, Chiara Alzetta, Felice Dell’Orletta, Andrea Esuli. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.

Cited by

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Discussions

• Die Studie untersucht, wie leicht sich mit modernen KI-Systemen automatisierte Content-Farmen im Nachrichtenstil erzeugen lassen – und wie schwer sie zu erkennen sind. arxiv.org/abs/2406.12128 [bsky, 20 points, 0 comments]
• Ending the week with a talk at the Pioneer Centre by @annarogers.bsky.social about her recent work on AI "news" content farms and the death of the internet. TL;DR automated farms are easy, cheap, and [bsky, 1 points, 2 comments]

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