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| Research on the Influencing Factors and the Influence of Positive Citation Papers from the Perspective of Citing Papers: Using Natural Language Processing as an Example |
| Xu Linhong1,2, Ding Kun1, Sun Xiaoling1, Yang Yang1 |
1.WISE Lab, Institute of Science of Science and Technology Management, Dalian University of Technology, Dalian 116024
2.Software Institute, Dalian University of Foreign Languages, Dalian 116044 |
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Abstract Citation frequency is an important evaluation index for scientific papers, but because of the issue of citation homogeneity, the deviation of citation frequency must be corrected. Based on data regarding citation polarity of natural language processing papers, this paper studies the influence of the differences between positive and neutral citations as well as between differently motivated positive citations. Furthermore, it discusses which factors influence an author's citation polarity. Using a nonparametric test, logistic regression, and other statistical inference methods, the study reveals that the influence of positive citations is significantly higher than that of neutral citations, and among the different reasons for positive citations, the influence of “applied” papers is greater. Furthermore, the position of the citation and the length of the citation sentence have a great influence on the citation polarity, but the citation intensity and the number of references have no influence on this polarity. This study's findings provide useful reform suggestions for further enriching citation analysis theory and refining evaluation strategies for technology quality.
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Received: 04 March 2020
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