在普通人和技术专业人士中探索开放人工智能的早期采用:对#ChatGPT和#GPT3的Twitter对话进行分析
Wenxue Zou1, Jinxu Li2, Yunkang Yang2
1Department of Communication, Media, & Culture, Coastal Carolina University.
International journal of human-computer interaction
|February 24, 2025
概括
在Twitter上对ChatGPT和GPT-3等大型语言模型 (LLM) 的早期讨论显示了不同的公众和专业情绪. 虽然聊天GPT讨论往往是负面的,以商业为重点,但GPT-3产生了更积极和多样化的对话.
科学领域:
- 人工智能的人工智能
- 社交媒体分析 社交媒体分析
- 技术采用 技术采用
背景情况:
- 包括GPT-3和ChatGPT在内的大型语言模型 (LLM) 迅速获得了高级文本处理和对话能力的关注.
- 了解早期的公共和专业话语对于评估新兴人工智能技术的采用和影响至关重要.
研究的目的:
- 分析在ChatGPT发布后围绕ChatGPT和GPT-3的早期Twitter讨论,应用创新扩散理论.
- 为了比较非专业人士与技术专业人士关于这些大型语言模型的态度和讨论的主题.
- 调查#ChatGPT和#GPT3对话之间的情感差异和主题变化.
主要方法:
- 从ChatGPT发布后的最初三个月收集和分析了42,273条#ChatGPT推文和17,639条#GPT3推文.
- 采用主题结构建模和情绪分析来确定讨论中的关键主题和情绪调.
- 研究了两个标签之间的讨论重点,情绪和主题范围的差异.
主要成果:
- 讨论的重点是相对优势和兼容性,这是创新采用的关键方面.
- 大多数#ChatGPT对话表现出负面情绪,主要以商业为导向.
- #GPT3讨论显示出更积极的情绪,涵盖了更广泛的主题,包括LLM的特点,应用和道德问题.
结论:
- 早期的推特话语表明公众和专业人士对ChatGPT和GPT-3的看法不同,受感知好处和商业应用等因素的影响.
- 这些发现突显出需要对不同用户群体和平台的LLM接收有细微了解.
- 对政策制定者的影响表明,进一步的研究对于掌握LLM潜力和相关风险的全部范围至关重要.
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