stance and engagement in human-written and GenAI-Generated academic abstract
Published: 8 July 2026| Version 1 | DOI: 10.17632/jcnfnspgz7.1
Contributor:
麒媛 赵Description
This dataset contains the analysis of stance and engagement features across academic abstracts written by humans and generated by Generative AI (GenAI) tools, specifically DeepSeek and ChatGPT. The purpose of this data is to investigate and compare the differences in how human authors and GenAI systems employ stance and engagement devices to construct arguments and interact with readers in academic writing.
Files
Categories
Academic Writing in English, Generative Language Interface