期刊文献+

GenAI在科技期刊选题策划中的应用与思考——以《新医学》为例

Application and thinking of generative AI in topic selection planning of science and technology periodicals:taking Journal of New Medicine as an example
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摘要 生成式人工智能(GenAI)为学术出版提供了新的技术支撑,有望重塑出版业态,推动科技期刊高质量发展。选题策划是期刊出版的关键环节,GenAI的海量数据收集与分析能力对选题策划有重要辅助作用。文章以医学期刊《新医学》为例,探讨GenAI在科技期刊选题策划中的实际应用效果,分析其应用优势与局限性,总结操作技巧与注意事项,以期为编者在科技期刊出版中合理使用GenAI提供参考。 Generative artificial intelligence(GenAI)technology provides a new technical support for academic publishing,and is expected to reshape the publishing format and promote the high-quality development of scientific periodicals.Topic selection planning is a key link in periodical publishing.GenAI’s ability to collect and analyze massive data plays an important role in topic selection planning.Taking medical periodical Journal of New Medicine as an example,this paper discusses the practical application effects of GenAI in the topic selection planning of science and technology periodicals,analyzes its application advantages and limitations,and summarizes the operation skills and precautions,so as to provide references for editors to rationally use GenAI in science and technology periodical publishing.
作者 洪悦民 王景周 HONG Yuemin;WANG Jingzhou(Medical Information Center of the Third Affiliated Hospital of Sun Yat-sen University,510630,Guangzhou,China)
出处 《编辑学报》 CSSCI 北大核心 2024年第4期439-443,共5页 Acta Editologica
基金 中国科学技术期刊编辑学会2023—2024年度基金项目(cessp-2023-D-26)。
关键词 选题策划 生成式人工智能 人工智能生成内容 科技期刊 人机协同 topic selection planning generative artificial intelligence artificial intelligence generated content science and technology periodicals man-machine collaboration
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