Generative artificial intelligence (GenAI or GAI) is a sub category of artificial intelligence that uses its capabilities to generate photos, text, animated GIF, 3D images, voice, and any type of media. There are many applications that are web-based, open sources, and downloadable that help in this function. So, this paper is mainly exploring in a practical observation and group trials some generative AI tools and their impact on media production and storytelling.
This study shed the light on the future of media production regarding social media platform analytics, AI applications, newsroom and journalistic media production, and Algorithm curation. It aims to compare between the algorithm bias of media production and storytelling from an actual data processing of three AI-powered web-based platforms storynest.ai, charism.ai. and deepai.org.
The research study depends on qualitative comparative analysis of the last three AI-powered web-based applications with textual story and visual attachment as unit of comparison. The aim behind choosing those three apps. is the far differentiation between the function of each one when talking about generative artificial intelligence.
The study concluded that Internet algorithms use what users feed the search bar with, and the fact that AI can control the users' preferences is a myth; because simply digital platforms create the content that users request.