Visualization of JOV abstracts

• 小山田, 耕二

  Academic Center for Computing and Media Studies, Kyoto University

• Onoue, Yosuke

  Science for Innovation Policy Unit, Center for the Promotion of Interdisciplinary Education and Research, Kyoto University

• Kioka, Miki

  Academic Center for Computing and Media Studies, Kyoto University

• Uetsuji, Tomoya

  Graduate School of Engineering, Kyoto University

• Baba, Kazutaka

  Academic Center for Computing and Media Studies, Kyoto University

抄録

Since the abstract can be found at the beginning of most scientific articles and is an essential part of the article, several attempts have been made to explore the rhetorical moves of abstracts in various research fields. These studies dealt only with accepted articles since they can be easily accessed. Although the findings of such works have some pedagogical implications for academic writing courses for young researchers who are relatively new to their fields, they do not contribute enough to the transparency of the peer review processes conducted in research fields. Increasing transparency requires considering rejected articles since they help to clarify the decision criteria in the peer review. Based on 591 abstracts of accepted or rejected articles submitted to Journal of Visualization (JOV), the present study aimed at exploring the differences between the accepted and rejected abstracts. The results show that there are significant differences in the structures of the abstracts. Since we also successfully develop a classification model for the decision using a machine-learning technique, the findings of this study have some implications for developing a semi-automatic reviewing system that can reduce the reviewer’s burden and increase the review quality.

収録刊行物

• Journal of Visualization

  Journal of Visualization 21 (2), 309-319, 2018-04-01

  Springer Verlag

キーワード

• Review crisis
• Peer review
• Move analysis
• Text visualization /Machine learning

詳細情報

• CRID: 1050001335854857600
• NII論文ID: 120006425874
• ISSN: 13438875
• HANDLE: 2433/230363
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles