农业图书情报学报 ›› 2023, Vol. 35 ›› Issue (11): 64-76.doi: 10.13998/j.cnki.issn1002-1248.23-0780

• 研究论文 • 上一篇    下一篇

社交媒体用户数字压力成因及影响路径研究

蒋智慧1, 李轩1, 曹高辉1,2,*   

  1. 1.华中师范大学 信息管理学院,武汉 430079;
    2.湖北省数据治理与智能决策研究中心,武汉 430079
  • 收稿日期:2023-12-18 出版日期:2023-11-05 发布日期:2024-02-28
  • 通讯作者: *曹高辉(1980- ),教授,博士生导师,研究方向为信息组织、信息行为。Email:ghcao@mail.ccnu.edu.cn
  • 作者简介:蒋智慧(1996- ),博士研究生,研究方向为信息行为。李轩(1998- ),硕士研究生,研究方向为信息行为
  • 基金资助:
    国家社会科学基金项目“基于事理图谱的社会化问答知识组织与服务研究”(19BTQ075)

Causes and Influence Paths of Digital Stress among Social Media Users

JIANG Zhihui1, LI Xuan1, CAO Gaohui1,2,*   

  1. 1. School of Information Management, Central China Normal University, Wuhan 430079;
    2. Center for Data Governance and Intelligent Decision-Making of Hubei Province, Wuhan 430079
  • Received:2023-12-18 Online:2023-11-05 Published:2024-02-28

摘要: [目的/意义]探讨社交媒体用户数字压力影响因素及作用机理,以期深入了解数字压力的形成路径,为缓解用户数字压力提供参考和借鉴。[方法/过程]选取21位用户为访谈对象,对访谈资料进行编码,构建理论模型。运用模糊集定性比较分析(fsQCA)方法,基于262份问卷数据,探索社交媒体用户数字压力形成路径。[结果/结论]社交媒体用户数字压力影响因素有过度使用、技术入侵、信息过载、沟通负荷、错失恐惧、认可焦虑、社会期望、数字应对技能和自我控制9个,并将其归为技术、社交、环境、个人特征4个维度。数字压力的形成路径有6条,其中过度使用和错失恐惧是导致高数字压力产生的关键因素,技术入侵和信息过载是数字压力产生的重要条件,数字应对技能和自我控制的作用效果不显著。

关键词: 数字压力, 社交媒体, 影响因素, 定性比较分析, 信息行为

Abstract: [Purpose/Significance] With the development of the Internet and the popularization of smart devices, the scale of social media users around the world is increasing, and social media has become the center of people's communication, but it also produces a series of negative problems. Digital stress refers to the painful subjective experience of users caused by different stressors in the process of heavy use of social media. At present, most studies on social media focus on users' social media behaviors. In recent years, digital stress has gradually attracted the attention of researchers. However, most studies discuss the impact of single variables on results from the perspective of linear regression, and few studies focus on the complex mechanism behind digital stress. This study aims to explore the influencing factors and mechanism of social media users' digital stress in order to further understand the path of digital stress and provide reference for relieving users' digital stress. [Method/Process] This paper adopted a mixed research method combining grounded theory and qualitative comparative analysis. First, 21 users were selected as interview objects, interview data were coded, and theoretical models were constructed. Second, a questionnaire was designed according to the theoretical model and 262 questionnaires were collected. The fuzzy set qualitative comparative analysis (fsQCA) method was used to analyze the questionnaire data and explore the formation path of social media users' digital stress. [Results/Conclusions] There were 9 influencing factors of social media users' digital stress: overuse, technology intrusion, information overload, communication load, fear of missing out, approval anxiety, social expectation, digital coping skills and self-control. They were classified into four dimensions: technology, social, environment and personal characteristics. There are six paths that trigger digital stress, among which overuse and fear of missing out are the key factors leading to high-level digital stress, technology intrusion and information overload are the important conditions for digital stress, and digital coping skills and self-control have no significant effects. At the same time, this paper has some limitations. First, the end point and result variable of this paper is the digital pressure of social media users, focusing on the factors that affect the generation of digital pressure and how the combination of factors and variables ultimately leads to the generation of results. Less attention is paid to user behavior. Although some attention is paid in the interview, antecedent variables are emphasized in the analysis. Future studies can take users' social media usage behavior into consideration to explore the whole process formation mechanism of influencing factors-digital pressure-user behavior. In addition, most of the research samples are young users of social media, and users of other age groups are less involved. In the future, the research samples should be further expanded to improve the universality of the research conclusions.

Key words: digital pressure, social media, influencing factors, qualitative comparative analysis, information behavior

中图分类号: 

  • G350

引用本文

蒋智慧, 李轩, 曹高辉. 社交媒体用户数字压力成因及影响路径研究[J]. 农业图书情报学报, 2023, 35(11): 64-76.

JIANG Zhihui, LI Xuan, CAO Gaohui. Causes and Influence Paths of Digital Stress among Social Media Users[J]. Journal of Library and Information Science in Agriculture, 2023, 35(11): 64-76.