AI vs Human Writers: A Comparative Analysis of Story Rewriting through Readability Metrics
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| Title: | AI vs Human Writers: A Comparative Analysis of Story Rewriting through Readability Metrics |
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| Language: | English |
| Authors: | Fahimul Habib (ORCID |
| Source: | International Journal of Technology in Education and Science. 2026 10(2):360-378. |
| Availability: | International Society for Technology, Education, and Science. e-mail: ijtesoffice@gmail.com; Web site: http://www.ijtes.net |
| Peer Reviewed: | Y |
| Page Count: | 19 |
| Publication Date: | 2026 |
| Document Type: | Journal Articles Reports - Research |
| Descriptors: | Artificial Intelligence, Man Machine Systems, Writing (Composition), Writing Evaluation, Readability, Language Usage, Difficulty Level, Readability Formulas, Sentences, English, Automation, Educational Technology, Technology Uses in Education |
| Assessment and Survey Identifiers: | Flesch Kincaid Grade Level Formula, Flesch Reading Ease Formula |
| ISSN: | 2651-5369 |
| Abstract: | This study examines how generative artificial intelligence (GenAI) might be used to rewrite narratives in comparison to texts written by humans, with an emphasis on writing style, readability, and verbosity. GenAI's performance is evaluated by means of quantitative analysis and readability metrics. The results indicate that GenAI often generates writings with higher verbosity and readability scores than stories written by humans. Furthermore, the examination of lexical density and diversity reveals subtle variations in writing styles between human, ChatGPT, and Gemini; GenAI exhibits competitive performance in these metrics. Although the results point to potential applications of GenAI in narrative, more research is needed to determine how effective the technology is when compared to human authors. |
| Abstractor: | As Provided |
| Entry Date: | 2026 |
| Accession Number: | EJ1506463 |
| Database: | ERIC |
| Abstract: | This study examines how generative artificial intelligence (GenAI) might be used to rewrite narratives in comparison to texts written by humans, with an emphasis on writing style, readability, and verbosity. GenAI's performance is evaluated by means of quantitative analysis and readability metrics. The results indicate that GenAI often generates writings with higher verbosity and readability scores than stories written by humans. Furthermore, the examination of lexical density and diversity reveals subtle variations in writing styles between human, ChatGPT, and Gemini; GenAI exhibits competitive performance in these metrics. Although the results point to potential applications of GenAI in narrative, more research is needed to determine how effective the technology is when compared to human authors. |
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| ISSN: | 2651-5369 |
