Generation of Breaking News Contents Using Large Language Models and Search Engine Optimization

Abstract

With easy access to the internet, anyone can search for the latest news. However, the news found on the internet, especially on social media, are often of dubious origin. This article explores how new technologies can help journalists in their day-to-day work. We therefore sought to create a platform for generating hot news content using Artificial Intelligence, namely Large Language Models (LLMs), combined with Search Engine Optimization (SEO). We investigate how LLMs impact content production, analyzing their ability to create compelling and accurate narratives in real time. Additionally, we examine how SEO integration can optimize the visibility and relevance of this content in search engines. This work highlights the importance of strategically combining these technologies to improve efficiency in disseminating news, adapting to the dynamism of online information and the demands of a constantly evolving audience.