Of (the Lack of) Authenticity in Ai-Generated Content Cover Image

Of (the Lack of) Authenticity in Ai-Generated Content
Of (the Lack of) Authenticity in Ai-Generated Content

Author(s): Elitsa Staneva-Britton
Subject(s): Social Sciences, Media studies, Communication studies, Theory of Communication, Fake News - Disinformation
Published by: Институт за знание, наука и иновации ЕООД
Keywords: authenticity; AI-text generators; content creators; ChatGPT; creativity; digital businesses; non-fiction texts; online users; writing

Summary/Abstract: Imagine a world where everything is the same, a world where nobody has any individuality! Like Kurt Vonnegut envisioned in ‘Harrison Bergeron’: “…equal every which way.” In other words, imagine reading the same introduction as the above every time you click on an online article, buy a newspaper, or open a book. Though exaggerated, such loss of uniqueness can already be spotted in the repetitive texts shaped by machine learning algorithms. How to create in the age of AI is a question challenging not only text creators but creativity researchers as well. The current literature analysis explores the impact AI-text generators like ChatGPT have on writing, with a focus on the perception and evaluation of non-fiction texts by their writers, respective businesses, and the public. Does authenticity matter for creators and users when AI creates?

Toggle Accessibility Mode