An analysis of sleep complaints on Sina Weibo

被引:30
|
作者
Tian, Xianyun [1 ]
Yu, Guang [1 ]
He, Fang [1 ]
机构
[1] Harbin Inst Technol, Sch Management, Harbin 150006, Peoples R China
基金
中国国家自然科学基金;
关键词
Social media; Social networking; Insomnia; Mental health; GENERAL-POPULATION; INSOMNIA; DEPRESSION; PREVALENCE; DISORDERS; CHINA;
D O I
10.1016/j.chb.2016.04.014
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
This study explores sleep complaints on Sina Weibo to gain insights into social networking about mental health. A random sample (n = 1000) of insomnia-related postings was coded and analyzed to investigate the themes and symptoms expressed in postings. The most common theme mentioned is the disclosure of insomnia. The difficulty with sleep initialization is the most common symptom revealed in postings. Besides, the prevalence of insomnia is higher in certain areas and the people who may suffer from insomnia tend to be active from midnight to noon. Our findings can be used to detect and provide help for those Weibo users who may suffer from insomnia. (c) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:230 / 235
页数:6
相关论文
共 50 条
  • [41] Topic evolution analysis in social networking services: Taking Sina Weibo as an example
    [J]. Wang, Yuhui (18601240913@126.com), 2018, CRL Publishing (33):
  • [42] A Hierarchical LSTM Model with Multiple Features for Sentiment Analysis of Sina Weibo Texts
    Shi, Shumin
    Zhao, Meng
    Guan, Jun
    Li, Yaxuan
    Huang, Heyan
    [J]. 2017 INTERNATIONAL CONFERENCE ON ASIAN LANGUAGE PROCESSING (IALP), 2017, : 379 - 382
  • [43] LanguageTool based University Rumor Detection on Sina Weibo
    Jiang, Ying
    Liu, Yujie
    Yang, Yalin
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP), 2017, : 453 - 454
  • [44] Detecting Spam in Chinese Microblogs - A study on Sina Weibo
    Liu, Lin
    Jia, Kun
    [J]. PROCEEDINGS OF THE 2012 EIGHTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS 2012), 2012, : 578 - 581
  • [45] Hashtag Recommendation Methods for Twitter and Sina Weibo: A Review
    Alsini, Areej
    Huynh, Du Q.
    Datta, Amitava
    [J]. FUTURE INTERNET, 2021, 13 (05)
  • [46] Verified account prediction on Sina Weibo with deep learning
    Liu, Shuhua Monica
    Chen, Jiun-Hung
    [J]. SOFT COMPUTING, 2023, 27 (07) : 3941 - 3954
  • [47] Mining Parallel Corpora from Sina Weibo and Twitter
    Ling, Wang
    Marujo, Luis
    Dyer, Chris
    Black, Alan W.
    Trancoso, Isabel
    [J]. COMPUTATIONAL LINGUISTICS, 2016, 42 (02) : 307 - 343
  • [48] Exploring Gender Differences in Motivations for Using Sina Weibo
    Hwang, Ha Sung
    Choi, Eun Kyoung
    [J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2016, 10 (03): : 1429 - 1441
  • [49] Verified account prediction on Sina Weibo with deep learning
    Shuhua Monica Liu
    Jiun-Hung Chen
    [J]. Soft Computing, 2023, 27 : 3941 - 3954
  • [50] Linguistic Fingerprints of Internet Censorship: the Case of Sina Weibo
    Ng, Kei Yin
    Feldman, Anna
    Peng, Jing
    [J]. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2020, 34 : 446 - 453