chatgpt as a journalistic writer: understanding the risks of ai-generated text

Artificial intelligence, particularly language models like chatgpt, is revolutionizing text generation. this study investigates the risks of integrating ai-generated content in journalism. a pipeline scrapes articles from seven newspaper websites, aggregating and summarizing data. analysis of ai-generated summaries reveals two key risks: subtle biases that challenge journalistic integrity and objectivity, and the absence of clear informational hierarchy. the research examines content nuances, style variations, and potential biases in ai-generated text. findings provide critical insights into the challenges of using machine-generated content in journalism, contributing to a deeper understanding of ai's implications in creative text generation and offering guidance for responsible integration of these technologies in journalistic practices.