Back to search

Article

Homogenizing Effect of Large Language Models (LLMs) on Creative Diversity: An Empirical Comparison of Human and ChatGPT Writing

2024-08-22

Abstract excerpt

<p>Generative AI systems, especially Large Language Models (LLMs) such as ChatGPT, have recently emerged as significant contributors to creative processes. While LLMs can produce creative content that might be as good as or even better than human-created content, their widespread use risks reducing creative diversity across groups of people. In the present research, we aimed to quantify this homogenizing effect of...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7b5308c3-fe94-5baa-817a-fd206aee759d
DOI
10.31234/osf.io/8p9wu_v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Homogenizing Effect of Large Language Models (LLMs) on Creative Diversity: An Empirical Comparison of Human and ChatGPT WritingDOI 10.31234/osf.io/8p9wu_v1
Select a neighboring publication to make it the new centre.