Papers with factuality analysis
Visualization of the occurrence trend of infectious diseases using Twitter (L18-1)
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| Challenge: | Existing methods for visualizing epidemics of infectious diseases are limited . a system to obtain how many people are infected by the given disease is created from tweets . |
| Approach: | They propose a system for visualizing the epidemics of infectious diseases . they apply factuality analysis to disease detection and location estimation . |
| Outcome: | The proposed method performs well on various diseases. |
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. |