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Adjectives and adverbs in life sciences across 50 years: implications for emotions and readability in academic texts

Author

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  • Ju Wen

    (Chongqing University
    Chengdu Jincheng College)

  • Lei Lei

    (Shanghai International Studies University)

Abstract

Writing in a clear and simple language is critical for scientific communications. Previous studies argued that the use of adjectives and adverbs cluttered writing and made scientific text less readable. The present study aims to investigate if the articles in life sciences have become more cluttered and less readable across the past 50 years in terms of the use of adjectives and adverbs. The data that were used in the study were a large dataset of 775,456 scientific texts published between 1969 and 2019 in 123 scientific journals. Results showed that an increasing number of adjectives and adverbs were used and the readability of scientific texts have decreased in the examined years. More importantly, the use of emotion adjectives and adverbs also demonstrated an upward trend while that of nonemotion adjectives and adverbs did not increase. To our knowledge, this is probably the first large scale diachronic study on the use of adjectives and adverbs in scientific writing. Possible explanations to these findings were discussed.

Suggested Citation

  • Ju Wen & Lei Lei, 2022. "Adjectives and adverbs in life sciences across 50 years: implications for emotions and readability in academic texts," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4731-4749, August.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:8:d:10.1007_s11192-022-04453-z
    DOI: 10.1007/s11192-022-04453-z
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    1. James Hartley & James W. Pennebaker & Claire Fox, 2003. "Abstracts, introductions and discussions: How far do they differ in style?," Scientometrics, Springer;Akadémiai Kiadó, vol. 57(3), pages 389-398, July.
    2. Adam Okulicz-Kozaryn, 2013. "Cluttered writing: adjectives and adverbs in academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 679-681, September.
    3. Dolnicar, Sara & Chapple, Alexander, 2015. "The readability of articles in tourism journals," Annals of Tourism Research, Elsevier, vol. 52(C), pages 161-166.
    4. Dowling, Michael & Hammami, Helmi & Zreik, Ousayna, 2018. "Easy to read, easy to cite?," Economics Letters, Elsevier, vol. 173(C), pages 100-103.
    5. Benjamin Freeling & Zoë A. Doubleday & Sean D. Connell, 2019. "Opinion: How can we boost the impact of publications? Try better writing," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(2), pages 341-343, January.
    6. Diego Marino Fages, 2020. "Write better, publish better," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1671-1681, March.
    7. 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.
    8. Lei Lei, 2016. "When science meets cluttered writing: adjectives and adverbs in academia revisited," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1361-1372, June.
    9. Lei Lei & Sheng Yan, 2016. "Readability and citations in information science: evidence from abstracts and articles of four journals (2003–2012)," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1155-1169, September.
    10. James Hartley, 2016. "Erratum to: Is time up for the Flesch measure of reading ease?," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 2329-2329, December.
    11. Michael Dowling & Helmi Hammami & Ousayna Zreik, 2018. "Easy to read, easy to cite?," Post-Print hal-01958017, HAL.
    12. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    13. Omar Mubin & Dhaval Tejlavwala & Mudassar Arsalan & Muneeb Ahmad & Simeon Simoff, 2018. "An assessment into the characteristics of award winning papers at CHI," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1181-1201, August.
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