社会科学中关于ChatGPT的学术话语:研究文章摘要的一个主题建模和情感分析
1Centre for English Corpus Linguistics, Université catholique de Louvain, Louvain-la-Neuve, Belgium.
PloS one
|October 14, 2025
概括
根据对社会科学摘要的分析,学者们主要是积极地看待ChatGPT,特别是在研究和教育方面. 伦理问题和学术完整性挑战也在讨论中,表明对人工智能工具的学术情绪各不相同.
科学领域:
- 社会科学 社会科学 社会科学
- 人工智能研究 人工智能研究
- 计算语言学 计算语言学
背景情况:
- 聊天GPT的快速兴起已经产生了重要的学术讨论.
- 了解关于ChatGPT的学术观点对于导航其融入研究和教育至关重要.
研究的目的:
- 分析社会科学学者如何框架和评估ChatGPT.
- 在围绕ChatGPT的学术话语中识别关键主题和情绪模式.
主要方法:
- 对1,227个SSCI索引的摘要应用了两步自然语言处理方法.
- 主题建模确定了与ChatGPT相关的六个主要主题.
- 情感分析评估了摘要中表达的评价态度.
主要成果:
- 六个关键主题出现了:人工智能和技术沟通,教育工具,用户感知,道德,人与技术的互动,以及LLM基础.
- 大约83%的摘要表达了积极的情绪,突出了研究潜力和教学实用性.
- 大约10%的摘要表达了谨慎或负面的观点,重点关注学术诚信和错误信息.
结论:
- 在社会科学中,关于ChatGPT的学术话语在很大程度上是积极的,特别是关于它的实用性.
- 在不同主题的情绪有所不同,用户采用和教育比与伦理相关的讨论显示出更多的积极性.
- 这项研究提供了一个数据驱动的,话语层面的视角,在学术界的生成AI叙述.
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