A Comparative Study on the Meta-functions of Artificial Intelligence and Human Discourse Markers
Year: 2024
Type: article
Abstract: This study explores the use of discourse markers in AI-generated and human-generated texts, based on Halliday's metafunctional theory.By analyzing 20 Shanghai college entrance exam essays generated by Baidu's AI model Wenxinyiyan and comparing them with 20 human-written essays, it is found that both share similar use of discourse markers.However, AI tends to use transitional and topic-follow-up markers more frequently, while human texts show a higher usage of conditional and causal markers.These findings suggest AI's capacity for maintaining discourse coherence but highlight its limitations in more complex reasoning.
Author: SHI Ren-wen
Institution: University of Shanghai for Science and Technology
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4403990259