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Utilizing health-related text on social media for depression research: themes and methods

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成果类型:
期刊论文
作者:
Yao, Sumei;Wang, Fan;Chen, Jing;Lu, Quan
通讯作者:
Lu, Q
作者机构:
[Lu, Quan; Yao, Sumei; Wang, Fan] Wuhan Univ, Ctr Studies Informat Resources, Wuhan, Peoples R China.
[Chen, Jing] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
[Lu, Quan] Wuhan Univ, Big Data Inst, Wuhan, Peoples R China.
通讯机构:
[Lu, Q ] W
Wuhan Univ, Ctr Studies Informat Resources, Wuhan, Peoples R China.
Wuhan Univ, Big Data Inst, Wuhan, Peoples R China.
语种:
英文
关键词:
Depression;Social media;Posts and replies;Online health community;Systematic review;Text
期刊:
LIBRARY HI TECH
ISSN:
0737-8831
年:
2023
基金类别:
National Social Science Fund of China [20ATQ008]; National Demonstration Center for Empirical Library and Information Science Education of the School of Information Management, Wuhan University
机构署名:
本校为其他机构
院系归属:
信息管理学院
摘要:
Purpose - Social media texts as a data source in depression research have emerged as a significant convergence between Information Management and Public Health in recent years. This paper aims to sort out the depression-related study conducted on the text on social media, with particular attention to the research theme and methods. Design/methodology/approach - The authors finally selected research articles published in Web of Science, Wiley, ACM Digital Library, EBSCO, IEEE Xplore and JMIR databases, covering 57 articles. Findings - (1) According to the coding results, Depression Prediction a...

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