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Do linguistic features of research article titles affect received online attention? A corpus-based analysis

Haoran Zhu (Huazhong University of Science and Technology, Wuhan, China)
Xueying Liu (Huazhong University of Science and Technology, Wuhan, China)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 29 June 2023

161

Abstract

Purpose

Scientific impact is traditionally assessed with citation-based metrics. Recently, altmetric indices have been introduced to measure scientific impact both within academia and among the general public. However, little research has investigated the association between the linguistic features of research article titles and received online attention. To address this issue, the authors examined in the present study the relationship between a series of title features and altmetric attention scores.

Design/methodology/approach

The data included 8,658 titles of Science articles. The authors extracted six features from the title corpus (i.e. mean word length, lexical sophistication, lexical density, title length, syntactic dependency length and sentiment score). The authors performed Spearman’s rank analyses to analyze the correlations between these features and online impact. The authors then conducted a stepwise backward multiple regression to identify predictors for the articles' online impact.

Findings

The correlation analyses revealed weak but significant correlations between all six title features and the altmetric attention scores. The regression analysis showed that four linguistic features of titles (mean word length, lexical sophistication, title length and sentiment score) have modest predictive effects on the online impact of research articles.

Originality/value

In the internet era with the widespread use of social media and online platforms, it is becoming increasingly important for researchers to adapt to the changing context of research evaluation. This study identifies several linguistic features that deserve scholars’ attention in the writing of article titles. It also has practical implications for academic administrators and pedagogical implications for instructors of academic writing courses.

Keywords

Acknowledgements

Funding: This study was supported by Humanities and Social Sciences Youth Foundation, Ministry of Education of the People’s Republic of China (Grant No. 21YJC740085).

Citation

Zhu, H. and Liu, X. (2023), "Do linguistic features of research article titles affect received online attention? A corpus-based analysis", Library Hi Tech, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/LHT-01-2023-0022

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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