| 李冠,孙灵芝,何明祥.生成式人工智能话题下公众认知的“关注度—满意度”量化分析——以微博平台为例[J].数字图书馆论坛,2024,20(10):9~21 |
| 生成式人工智能话题下公众认知的“关注度—满意度”量化分析——以微博平台为例 |
| Quantitative Analysis of “Attention-Satisfaction” in Public Cognition Under Generative Artificial Intelligence: Taking Weibo Platform as an Example |
| 投稿时间：2024-08-22 |
| DOI：10.3772/j.issn.1673-2286.2024.10.002 |
| 中文关键词: 生成式人工智能；IPA模型；关注度—满意度框架；BERTopic；ERNIE 3.0；主题聚类；情感分析 |
| 英文关键词: Generative Artificial Intelligence; IPA Model; Attention-Satisfaction Framework; BERTopic; ERNIE 3.0; Topic Clustering; Sentiment Analysis |
| 基金项目: |
| 作者 | 单位 | | 李冠 | 山东科技大学计算机科学与工程学院 | | 孙灵芝 | 山东科技大学计算机科学与工程学院 | | 何明祥 | 山东科技大学计算机科学与工程学院 |
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| 中文摘要: |
| 深入剖析公众对生成式人工智能（Generative Artificial Intelligence，GAI）的认知状况，给人工智能政策制定、风险治理提供数据支持和策略建议。以微博为数据源，首先提出Zero-shot_M3E_BERTopic模型，识别GAI话题下的公众认知主题；其次运用ERNIE 3.0模型进行情感分析，量化主题的关注度和满意度，探究其动态变化特征；最后基于IPA模型构建“关注度—满意度”分析框架，并通过关键词共现网络对公众认知进行分区细粒度分析。研究发现，GAI话题下的公众认知涉及4个维度，共17个主题，其中问答质量、情感洞察和教学辅助为主要弱势领域，而就业市场、网络安全、知识产权等5个主题为次要弱势领域。从政府、企业和公众3个方面给出以下建议：政府强化引导监管，筑牢发展后盾；企业加速技术创新，打造中国特色GAI；公众提升信息素养，合理运用GAI工具。 |
| 英文摘要: |
| The purpose of this study is to deeply analyze the public’s cognitive status of generative artificial intelligence (GAI), and provide data support and strategic suggestions for AI policy making and risk management. In this study, Weibo is selected as the data source, and a Zero-shot_M3E_BERTopic model is proposed to identify the public cognitive topics under GAI. Sentiment analysis is carried out in combination with ERNIE 3.0 model to quantify the topic’s attention and satisfaction, and explore its dynamic change characteristics. Furthermore, based on the IPA model, a framework of “attention-satisfaction” analysis is constructed, and the public cognition is analyzed by the keyword co-occurrence network. The research finds that public cognition under GAI topic involves four dimensions and a total of 17 topics, in which Q&A quality, emotional insight, and educational assistance are the main vulnerable areas, while five topics such as job market, network security, and intellectual property rights are the secondary vulnerable areas. This paper gives the following suggestions from the perspectives of government, enterprises, and the public. The government should strengthen guidance and supervision, and build a solid support for development. Enterprises should accelerate technological innovation and build GAI with Chinese characteristics. The public needs to improve information literacy and use GAI tools rationally. |
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