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Does citation polarity help evaluate the quality of academic papers?

Author

Listed:
  • Linhong Xu

    (Dalian University of Technology
    Software Institute, Dalian University of Foreign Languages)

  • Kun Ding

    (Dalian University of Technology)

  • Yuan Lin

    (Dalian University of Technology)

  • Chunbo Zhang

    (Dalian University of Technology)

Abstract

Citation frequency is an important metric for the evaluation of academic papers, but it assumes that all citations are of equal value. The purpose of this study is to determine the validity of citation polarity, which contains evaluative information such as criticism or praise, in the evaluation of paper quality. In this paper, 3538 citation sentences in papers from ACL conferences were selected and manually annotated for citation polarity. They were divided into best paper group and matching paper group, and tested in heterologous pairs to determine whether there were differences in the positive and negative citations of the two groups, and to further investigate the trend of citation polarity with the increase of citation window. The results of the study showed that the best paper and the matching paper had significant differences in the number of positive and negative citations, and the mean and median values of positive citations in the best group were about 1.5 times higher than those in the matching group. As the citation window increased, the best papers maintained both positive and negative citation dominance over 5 years, and the peak citation in the best group was about three times higher than that in the matching group. Therefore, the metric of citation polarity can help evaluate the quality of papers and provide new ideas for scientific and objective evaluation of academic papers.

Suggested Citation

  • Linhong Xu & Kun Ding & Yuan Lin & Chunbo Zhang, 2023. "Does citation polarity help evaluate the quality of academic papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4065-4087, July.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:7:d:10.1007_s11192-023-04734-1
    DOI: 10.1007/s11192-023-04734-1
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    1. Agnieszka Geras & Grzegorz Siudem & Marek Gagolewski, 2020. "Should we introduce a dislike button for academic articles?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(2), pages 221-229, February.
    2. Terrence A. Brooks, 1986. "Evidence of complex citer motivations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(1), pages 34-36, January.
    3. Rudolf Farys & Tobias Wolbring, 2017. "Matched control groups for modeling events in citation data: An illustration of nobel prize effects in citation networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2201-2210, September.
    4. Yuanyuan Liu & Qiang Wu & Shijie Wu & Yong Gao, 2021. "Weighted citation based on ranking-related contribution: a new index for evaluating article impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8653-8672, October.
    5. Hao Liao & Rui Xiao & Giulio Cimini & Matúš Medo, 2014. "Network-Driven Reputation in Online Scientific Communities," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-18, December.
    6. Lutz Bornmann, 2017. "Is collaboration among scientists related to the citation impact of papers because their quality increases with collaboration? An analysis based on data from F1000Prime and normalized citation scores," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 1036-1047, April.
    7. Blaise Cronin & Lokman Meho, 2006. "Using the h‐index to rank influential information scientistss," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1275-1278, July.
    8. Martin, Ben R. & Irvine, John, 1993. "Assessing basic research : Some partial indicators of scientific progress in radio astronomy," Research Policy, Elsevier, vol. 22(2), pages 106-106, April.
    9. Lina Zhou & Uchechukwuka Amadi & Dongsong Zhang, 2020. "Is Self-Citation Biased? An Investigation via the Lens of Citation Polarity, Density, and Location," Information Systems Frontiers, Springer, vol. 22(1), pages 77-90, February.
    10. Linhong Xu & Kun Ding & Yuan Lin, 2022. "Do negative citations reduce the impact of cited papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 1161-1186, February.
    11. Frederique Bordignon, 2020. "Self-correction of science: a comparative study of negative citations and post-publication peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1225-1239, August.
    12. Dunaiski, Marcel & Visser, Willem & Geldenhuys, Jaco, 2016. "Evaluating paper and author ranking algorithms using impact and contribution awards," Journal of Informetrics, Elsevier, vol. 10(2), pages 392-407.
    13. Negin Salimi, 2017. "Quality assessment of scientific outputs using the BWM," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 195-213, July.
    14. Donald O. Case & Georgeann M. Higgins, 2000. "How can we investigate citation behavior? A study of reasons for citing literature in communication," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(7), pages 635-645.
    15. Jianlin Zhou & An Zeng & Ying Fan & Zengru Di, 2018. "The representative works of scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1721-1732, December.
    16. Peng Zhang & Peiling Wang & Qiang Wu, 2018. "How are the best JASIST papers cited?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(6), pages 857-860, June.
    17. Niu, Qikai & Zhou, Jianlin & Zeng, An & Fan, Ying & Di, Zengru, 2016. "Which publication is your representative work?," Journal of Informetrics, Elsevier, vol. 10(3), pages 842-853.
    18. Colin Macilwain, 2013. "Halt the avalanche of performance metrics," Nature, Nature, vol. 500(7462), pages 255-255, August.
    19. Lutz Bornmann, 2015. "Interrater reliability and convergent validity of F1000Prime peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2415-2426, December.
    20. Frederique Bordignon, 2022. "Critical citations in knowledge construction and citation analysis: from paradox to definition," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 959-972, February.
    21. Erjia Yan & Zheng Chen & Kai Li, 2020. "Authors' status and the perceived quality of their work: Measuring citation sentiment change in nobel articles," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(3), pages 314-324, March.
    22. Muhammad Touseef Ikram & Muhammad Tanvir Afzal, 2019. "Aspect based citation sentiment analysis using linguistic patterns for better comprehension of scientific knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 73-95, April.
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