2022
DOI: 10.1007/s11192-022-04515-2
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Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 years

Abstract: Academic writing is developing to be more positive. This linguistic positivity bias is confirmed in academic writing across disciplines and genres. The current research adopted sentiment analysis and examined the diachronic change in linguistic positivity in the full texts of 2,556 research articles published in Science in 25 years. The results showed that academic writing in research articles in the journal Science has become significantly more positive in the past 25 years. The findings of this study confirm… Show more

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Cited by 20 publications
(7 citation statements)
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“…Our results showed that article abstracts in the examined disciplines have indeed experienced an increasing trend in terms of both the frequency of positive words and sentiment scores. The results lend support to the findings of previous studies (Bordignon et al, 2021 ; Yuan & Yao, 2022 ) by showing that the increasing trend of linguistic positivity bias may be a common phenomenon across academic disciplines. Such a trend may be attributable to the universal positivity bias in natural language (Dodds et al, 2015 ).…”
Section: Discussionsupporting
confidence: 90%
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“…Our results showed that article abstracts in the examined disciplines have indeed experienced an increasing trend in terms of both the frequency of positive words and sentiment scores. The results lend support to the findings of previous studies (Bordignon et al, 2021 ; Yuan & Yao, 2022 ) by showing that the increasing trend of linguistic positivity bias may be a common phenomenon across academic disciplines. Such a trend may be attributable to the universal positivity bias in natural language (Dodds et al, 2015 ).…”
Section: Discussionsupporting
confidence: 90%
“…This lexicon is large, comprehensive, and manually sentiment-tagged with great care (Wen & Lei, 2022 ). It has been well-tested and used in previous studies, and is believed to be robust and reliable in sentiment analysis (Liu & Lei, 2018 ; Wen & Lei, 2022 ; Yuan & Yao, 2022 ). Last, we extracted the raw citation counts received by each paper from the downloaded bibliographic information.…”
Section: Methodsmentioning
confidence: 99%
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“…Such an investigation could provide a complementary addition by shedding light on the differential utilisation of hedging devices across different time periods. This is especially pertinent considering the limited exploration of diachronic trends in hedging (Yao, Wei, & Wang, 2023), and the conflicting findings in existing diachronic studies . For instance, Šandová (2021) scrutinised a corpus of research article abstracts published in the Journal of Pragmatics and observed a significant decrease in the occurrence of hedging devices over the past three decades.…”
Section: Introductionmentioning
confidence: 99%