科学推文的文本属性特征及其对科学论文的级联演化趋势分析

doi:10.3772/j.issn.1000-0135.2025.10.004

情报学报

2025, Vol. 44

Issue (10): 1259-1271 DOI: 10.3772/j.issn.1000-0135.2025.10.004

情报理论与方法

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科学推文的文本属性特征及其对科学论文的级联演化趋势分析

曹仁猛^1,2, 许小可^1,2, 王贤文³

1.北京师范大学（珠海校区）计算传播学研究中心，珠海 519087
2.北京师范大学新闻传播学院，北京 100875
3.大连理工大学公共管理学院科学学与科技管理研究所暨WISE实验室，大连 116024

Analysis of Textual Attributes of Scientific Tweets and Their Impact on the Cascading Evolution Trends of Scientific Papers

Cao Renmeng^1,2, Xu Xiaoke^1,2, Wang Xianwen³

1.Computational Communication Research Center, Beijing Normal University, Zhuhai 519087
2.School of Journalism and Communication, Beijing Normal University, Beijing 100875
3.WISE Lab, Institute of Science of Science and S&T Management, School of Public Administration and Policy, Dalian University of Technology, Dalian 116024

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摘要科学推文是科学论文在社交媒体上的重要传播载体，揭示科学推文的文本属性特征对科学论文传播效果的影响，可以帮助科学传播者优化传播策略，提高科学信息的传播范围，促进学术交流与公众参与。本文基于5万余篇论文和40万条科学推文的研究样本，从推文文本内容、多媒体信息和表情符号3个维度，分析了不同文本属性特征的科学推文的级联演化趋势。研究发现，将论文亮点的内容作为推文文本，以及在推文中加入图片、视频和表情符号等视觉元素，能够显著增强科学论文的传播范围。这种效果不仅在传播初期得到体现，而且在后续传播中得到进一步增强，形成“强者愈强”的传播趋势，即级联马太效应。本文将计算传播视角引入altmetrics研究中，能够帮助研究者更深入、全面地理解科学论文在社交媒体上的传播过程和模式，从而揭示科学论文传播背后的机制。

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关键词 ： altmetrics, 级联传播, 科学推文, 传播效果

收稿日期: 2025-01-01

基金资助:国家自然科学基金项目“科学文献全景大数据下的研究热点及研究前沿探测”（71974029）；中央高校基本科研业务费“科学如何促进技术创新：影响因素及作用模式研究”（DUT24RW303）。

作者简介: 曹仁猛，1994年生，博士，讲师，硕士生导师，主要研究方向为补充计量学和计算传播学；许小可，1979年生，博士，教授，博士生导师，主要研究方向为计算传播学和网络科学；王贤文，通信作者，1982年生，博士，教授，博士生导师，主要研究方向为科技情报、科学学与科技政策，E-mail：xianwenwang@dlut.edu.cn；

引用本文:

曹仁猛, 许小可, 王贤文. 科学推文的文本属性特征及其对科学论文的级联演化趋势分析[J]. 情报学报, 2025, 44(10): 1259-1271.
Cao Renmeng, Xu Xiaoke, Wang Xianwen. Analysis of Textual Attributes of Scientific Tweets and Their Impact on the Cascading Evolution Trends of Scientific Papers. 情报学报, 2025, 44(10): 1259-1271.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2025.10.004 或 https://qbxb.istic.ac.cn/CN/Y2025/V44/I10/1259

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