中国科技期刊研究 ›› 2020, Vol. 31 ›› Issue (8): 909-914. doi: 10.11946/cjstp.201912050841

• 数字出版 • 上一篇    下一篇

人工智能在科技期刊选题策划中的应用与应对策略

刘畅1)(), 姜京梅2), 范瑜晛3)   

  1. 1) 中国科学院声学研究所《应用声学》编辑部,北京市海淀区北四环西路21号 100190
    2) 中国科学院声学研究所《网络新媒体技术》编辑部,北京市海淀区北四环西路21号 100190
    3) 中国科学院声学研究所《声学学报》编辑部,北京市海淀区北四环西路21号 100190
  • 收稿日期:2019-12-05 修回日期:2020-06-28 出版日期:2020-08-15 发布日期:2020-08-15
  • 作者简介:刘 畅(ORCID:0000-0002-0725-0665),硕士,编辑,E-mail: liuchang1631@126.com;|姜京梅,硕士,编辑;|范瑜晛,博士,副编审。

Application of artificial intelligence in topic selection and planning of scientific journals and coping strategies

LIU Chang1)(), JIANG Jingmei2), FAN Yuxian3)   

  1. 1) Editorial Office of Journal of Applied Acoustics, Institute of Acoustics, Chinese Academy of Sciences, 21 Beisihuan Xilu, Haidian District, Beijing 100190, China
    2) Editorial Office of Journal of Network New Media, Institute of Acoustics, Chinese Academy of Sciences, 21 Beisihuan Xilu, Haidian District, Beijing 100190, China
    3) Editorial Office of Acta Acustica, Institute of Acoustics, Chinese Academy of Sciences, 21 Beisihuan Xilu, Haidian District, Beijing 100190, China
  • Received:2019-12-05 Revised:2020-06-28 Online:2020-08-15 Published:2020-08-15

摘要:

【目的】聚焦人工智能应用于科技期刊选题策划,以期为人工智能技术与期刊出版融合发展提供有价值的参考。【方法】采用文献分析法探讨人工智能在科技期刊选题策划中的应用优势以及面临的挑战,提出编辑应对策略。【结果】人工智能不仅可以提高选题策划的效率和准确性,还可以提升约稿对象匹配度,但在选题同质性、算法公平性、样本和模型的科学性、对青年学者的公正性以及编辑的信息素养等方面面临诸多挑战。【结论】在人工智能选题策划过程中,编辑应立足自身优势,发挥主导作用,全面提升信息素养,积极参与到人工智能的优化设计中。

关键词: 人工智能, 选题策划, 科技期刊, 应对策略

Abstract:

[Purposes] This paper focuses on the application of artificial intelligence in the topic selection and planning of scientific journals, so as to provide a valuable reference for the integrative development of artificial intelligence technology and journal publishing. [Methods] The literature analysis method was used to discuss the application advantages and challenges of artificial intelligence in the topic selection and planning of scientific journals, and propose coping strategies for journal editors. [Findings] Artificial intelligence can not only improve the efficiency and accuracy of topic selection and planning, but also improve the matching degree of manuscripts. However, there are many challenges in the following aspects, such as the homogeneity of the topics, the fairness of the algorithms, the scientificity of the samples and models, the fairness to the young scholars, and the information literacy of the editors. [Conclusions] In the process of topic selection and planning with artificial intelligence, editors should base on their own advantages, play a leading role, comprehensively improve information literacy, and actively participate in the optimization design of artificial intelligence.

Key words: Artificial intelligence, Topic selection and planning, Scientific journal, Coping strategy