悲伤
独创性
情感(语言学)
价值(数学)
功能(生物学)
语言学
心理学
纪律
对比度(视觉)
社会学
社会心理学
计算机科学
社会科学
愤怒
人工智能
机器学习
哲学
生物
进化生物学
创造力
作者
Lei Li,Anrunze Li,Xue Song,Xinran Li,Kun Huang,Edwin Mouda Ye
出处
期刊:Library Hi Tech
[Emerald Publishing Limited]
日期:2021-11-29
卷期号:41 (3): 921-938
被引量:20
标识
DOI:10.1108/lht-05-2021-0161
摘要
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.
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