TY - GEN
T1 - Echoes of Automation
T2 - 18th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation, SBP-BRiMS 2025
AU - Ansari, Abolfazl
AU - Zhang, Delvin Ce
AU - Tripto, Nafis Irtiza
AU - Lee, Dongwon
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
PY - 2026
Y1 - 2026
N2 - The rapid rise of Generative AI (GenAI), particularly LLMs, poses concerns for journalistic integrity and authorship. This study examines AI-generated content across over 40,000 news articles from major, local, and college news media, in various media formats. Using three advanced AI-text detectors (e.g., Binoculars, Fast-Detect GPT, and GPTZero), we find substantial increase of GenAI use in recent years, especially in local and college news. Sentence-level analysis reveals LLMs are often used in the introduction of news, while conclusions usually written manually. Linguistic analysis shows GenAI boosts word richness and readability but lowers formality, leading to more uniform writing styles, particularly in local media.
AB - The rapid rise of Generative AI (GenAI), particularly LLMs, poses concerns for journalistic integrity and authorship. This study examines AI-generated content across over 40,000 news articles from major, local, and college news media, in various media formats. Using three advanced AI-text detectors (e.g., Binoculars, Fast-Detect GPT, and GPTZero), we find substantial increase of GenAI use in recent years, especially in local and college news. Sentence-level analysis reveals LLMs are often used in the introduction of news, while conclusions usually written manually. Linguistic analysis shows GenAI boosts word richness and readability but lowers formality, leading to more uniform writing styles, particularly in local media.
UR - https://www.scopus.com/pages/publications/105020021558
UR - https://www.scopus.com/pages/publications/105020021558#tab=citedBy
U2 - 10.1007/978-3-032-07715-8_1
DO - 10.1007/978-3-032-07715-8_1
M3 - Conference contribution
AN - SCOPUS:105020021558
SN - 9783032077141
T3 - Lecture Notes in Computer Science
SP - 3
EP - 13
BT - Social, Cultural, and Behavioral Modeling - 18th International Conference, SBP-BRiMS 2025, Proceedings
A2 - Thomson, Robert
A2 - Pyke, Aryn A
A2 - Renshaw, Scott
A2 - Park, Patrick
A2 - Al-khateeb, Samer
A2 - Burger, Annetta
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 14 October 2025 through 17 October 2025
ER -