Did ChatGPT or Copilot use alter the style of internet news headlines? A time series regression analysis
March 31, 2025 ยท Declared Dead ยท ๐ International Conference on Multimodal Interaction
"No code URL or promise found in abstract"
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Authors
Chris Brogly, Connor McElroy
arXiv ID
2503.23811
Category
cs.CL: Computation & Language
Cross-listed
cs.SI
Citations
3
Venue
International Conference on Multimodal Interaction
Last Checked
5 months ago
Abstract
The release of advanced Large Language Models (LLMs) such as ChatGPT and Copilot is changing the way text is created and may influence the content that we find on the web. This study investigated whether the release of these two popular LLMs coincided with a change in writing style in headlines and links on worldwide news websites. 175 NLP features were obtained for each text in a dataset of 451 million headlines/links. An interrupted time series analysis was applied for each of the 175 NLP features to evaluate whether there were any statistically significant sustained changes after the release dates of ChatGPT and/or Copilot. There were a total of 44 features that did not appear to have any significant sustained change after the release of ChatGPT/Copilot. A total of 91 other features did show significant change with ChatGPT and/or Copilot although significance with earlier control LLM release dates (GPT-1/2/3, Gopher) removed them from consideration. This initial analysis suggests these language models may have had a limited impact on the style of individual news headlines/links, with respect to only some NLP measures.
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