Papers with Pangram
AI use in American newspapers is widespread, uneven, and rarely disclosed (2026.acl-long)
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Jenna Russell, Marzena Karpinska, Destiny Akinode, James Zhou, Katherine Thai, Bradley Emi, Max Spero, Mohit Iyyer
| Challenge: | a large-scale dataset of 186K articles from 1.5K newspapers published in the summer of 2025 is audited. |
| Approach: | They audit 186K articles from 1.5K newspapers published in summer of 2025 . they use Pangram, a state-of-the-art AI detector, to detect whether articles are partially or fully AI-generated . |
| Outcome: | The findings highlight the need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust. |
Frankentext: Stitching random text fragments into long-form narratives (2026.acl-long)
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| Challenge: | a new approach to generate narratives that can evade detection is needed . authors say that the livelihood of writers is threatened by the quality of AI writing . |
| Approach: | They propose a long-form narrative generation paradigm that treats an LLM as a composer of existing texts rather than as an author. |
| Outcome: | a new model improves over vanilla LLM generation in key writing quality metrics . human annotators praise the model for inventive premises, vivid descriptions, and dry humor . the model raises concerns about the publishing economy and the livelihood of writers . |