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Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact

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  • Xueying Liu

    (Huazhong University of Science and Technology)

  • Haoran Zhu

    (Huazhong University of Science and Technology)

Abstract

Previous studies have investigated the use of positive/negative language in academic discourse, and have found a tendency toward using more positive language in academic writing. However, little is known about whether the features and dynamics of linguistic positivity vary across disciplines. In addition, the relationship between linguistic positivity and research impact deserves further evaluation. To address these issues, the present study investigated linguistic positivity in academic writing from a cross-disciplinary perspective. Based on a 111-million-word corpus of research article abstracts collected from the Web of Science, the study examined the diachronic trends of positive/negative language in eight academic disciplines, and explored the relationship between linguistic positivity and citation counts. The results demonstrated that the increase in linguistic positivity is a common phenomenon across the examined academic disciplines. In addition, hard disciplines showed a higher and faster-growing degree of linguistic positivity compared with soft disciplines. Last, a significant positive correlation was identified between citation counts and the degree of linguistic positivity. Reasons for the temporal dynamics and disciplinary variation of linguistic positivity were explored, and implications for the scientific community were discussed.

Suggested Citation

  • Xueying Liu & Haoran Zhu, 2023. "Linguistic positivity in soft and hard disciplines: temporal dynamics, disciplinary variation, and the relationship with research impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3107-3127, May.
    • Handle: RePEc:spr:scient:v:128:y:2023:i:5:d:10.1007_s11192-023-04679-5
    DOI: 10.1007/s11192-023-04679-5
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    References listed on IDEAS

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    1. Amnah Alluqmani & Lior Shamir, 2018. "Writing styles in different scientific disciplines: a data science approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1071-1085, May.
    2. Jonathan Knight, 2003. "Null and void," Nature, Nature, vol. 422(6932), pages 554-555, April.
    3. Lu, Chao & Bu, Yi & Dong, Xianlei & Wang, Jie & Ding, Ying & Larivière, Vincent & Sugimoto, Cassidy R. & Paul, Logan & Zhang, Chengzhi, 2019. "Analyzing linguistic complexity and scientific impact," Journal of Informetrics, Elsevier, vol. 13(3), pages 817-829.
    4. Bikun Chen & Dannan Deng & Zhouyan Zhong & Chengzhi Zhang, 2020. "Exploring linguistic characteristics of highly browsed and downloaded academic articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1769-1790, March.
    5. Alex Bradley & Richard J. E. James, 2019. "How are major gambling brands using Twitter?," International Gambling Studies, Taylor & Francis Journals, vol. 19(3), pages 451-470, September.
    6. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    7. Mario Biagioli, 2016. "Watch out for cheats in citation game," Nature, Nature, vol. 535(7611), pages 201-201, July.
    8. Marco Pautasso, 2010. "Worsening file-drawer problem in the abstracts of natural, medical and social science databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 193-202, October.
    9. Pardeep Sud & Mike Thelwall, 2014. "Evaluating altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1131-1143, February.
    10. Tan Jin & Huiqiong Duan & Xiaofei Lu & Jing Ni & Kai Guo, 2021. "Do research articles with more readable abstracts receive higher online attention? Evidence from Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8471-8490, October.
    11. Yaoyu Wei & Lei Lei, 2018. "Institution bias in the New England Journal of Medicine? A bibliometric analysis of publications (1997–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(3), pages 1771-1775, December.
    12. Vasilios D. Kosteas, 2018. "Predicting long-run citation counts for articles in top economics journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(3), pages 1395-1412, June.
    13. Kerry Dwan & Carrol Gamble & Paula R Williamson & Jamie J Kirkham & the Reporting Bias Group, 2013. "Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias — An Updated Review," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-37, July.
    14. Daniele Fanelli, 2012. "Negative results are disappearing from most disciplines and countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 891-904, March.
    15. Zhou-min Yuan & Mingxin Yao, 2022. "Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6191-6207, November.
    16. Ehsan Mohammadi & Mike Thelwall & Stefanie Haustein & Vincent Larivière, 2015. "Who reads research articles? An altmetrics analysis of Mendeley user categories," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(9), pages 1832-1846, September.
    17. El Ouardighi, Fouad & Kim, Bowon, 2010. "Supply quality management with wholesale price and revenue-sharing contracts under horizontal competition," European Journal of Operational Research, Elsevier, vol. 206(2), pages 329-340, October.
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