Towards the relationship between AIGC in manuscript writing and author profiles: evidence from preprints in LLMs
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arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929326312652800 |
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| author | Liu, Jialin Bu, Yi |
| author_facet | Liu, Jialin Bu, Yi |
| contents | AIGC tools such as ChatGPT have profoundly changed scientific research, leading to widespread attention on its use on academic writing. Leveraging preprints from large language models, this study examined the use of AIGC in manuscript writing and its correlation with author profiles. We found that: (1) since the release of ChatGPT, the likelihood of abstracts being AI-generated has gradually increased; (2) scientists from English-speaking countries are less likely to use AIGC tools for writing assistance, while those from countries with linguistic differences from English are more likely to use these tools; (3) there is weak correlation between a paper's AI-generated probability and authors' academic performance; and (4) authors who have previously published papers with high AI-generated probabilities are more likely to continue using AIGC tools. We believe that this paper provides insightful results for relevant policies and norms and in enhancing the understanding of the relationship between humans and AI. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_15799 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Towards the relationship between AIGC in manuscript writing and author profiles: evidence from preprints in LLMs Liu, Jialin Bu, Yi Digital Libraries J.0 AIGC tools such as ChatGPT have profoundly changed scientific research, leading to widespread attention on its use on academic writing. Leveraging preprints from large language models, this study examined the use of AIGC in manuscript writing and its correlation with author profiles. We found that: (1) since the release of ChatGPT, the likelihood of abstracts being AI-generated has gradually increased; (2) scientists from English-speaking countries are less likely to use AIGC tools for writing assistance, while those from countries with linguistic differences from English are more likely to use these tools; (3) there is weak correlation between a paper's AI-generated probability and authors' academic performance; and (4) authors who have previously published papers with high AI-generated probabilities are more likely to continue using AIGC tools. We believe that this paper provides insightful results for relevant policies and norms and in enhancing the understanding of the relationship between humans and AI. |
| title | Towards the relationship between AIGC in manuscript writing and author profiles: evidence from preprints in LLMs |
| topic | Digital Libraries J.0 |
| url | https://arxiv.org/abs/2404.15799 |