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Characterizing response quantity on academic social Q&A sites: a multidiscipline comparison of linguistic characteristics of questions

Lei Li (Department of Information Management, School of Government, Beijing Normal University, Beijing, China)
Anrunze Li (School of Information Resource Management, Renmin University of China, Beijing, China)
Xue Song ( School of Management, Xi'an Jiaotong University, Xi'an, China)
Xinran Li (Department of Information Management, School of Government, Beijing Normal University, Beijing, China)
Kun Huang (Department of Information Management, School of Government, Beijing Normal University, Beijing, China)
Edwin Mouda Ye (UniSA STEM, University of South Australia, Adelaide, Australia)

Library Hi Tech

ISSN: 0737-8831

Article publication date: 30 November 2021

Issue publication date: 11 July 2023

341

Abstract

Purpose

As academic social Q&A networking websites become more popular, scholars are increasingly using them to meet their information needs by asking academic questions. However, compared with other types of social media, scholars are less active on these sites, resulting in a lower response quantity for some questions. This paper explores the factors that help explain how to ask questions that generate more responses and examines the impact of different disciplines on response quantity.

Design/methodology/approach

The study examines 1,968 questions in five disciplines on the academic social Q&A platform ResearchGate Q&A and explores how the linguistic characteristics of these questions affect the number of responses. It uses a range of methods to statistically analyze the relationship between these linguistic characteristics and the number of responses, and conducts comparisons between disciplines.

Findings

The findings indicate that some linguistic characteristics, such as sadness, positive emotion and second-person pronouns, have a positive effect on response quantity; conversely, a high level of function words and first-person pronouns has a negative effect. However, the impacts of these linguistic characteristics vary across disciplines.

Originality/value

This study provides support for academic social Q&A platforms to assist scholars in asking richer questions that are likely to generate more answers across disciplines, thereby promoting improved academic communication among scholars.

Keywords

Acknowledgements

This work was supported by National Social Science Fund Project (No. 19CTQ032).

Citation

Li, L., Li, A., Song, X., Li, X., Huang, K. and Ye, E.M. (2023), "Characterizing response quantity on academic social Q&A sites: a multidiscipline comparison of linguistic characteristics of questions", Library Hi Tech, Vol. 41 No. 3, pp. 921-938. https://doi.org/10.1108/LHT-05-2021-0161

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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