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数据分析与知识发现  2022, Vol. 6 Issue (4): 97-107     https://doi.org/10.11925/infotech.2096-3467.2021.0801
  研究论文 本期目录 | 过刊浏览 | 高级检索 |
基于元分析的社交媒体用户隐私披露意愿影响因素研究*
李雪丽,黄令贺(),陈佳星
河北大学管理学院 保定 071002
Influencing Factors of Social Media Users’ Intentions to Disclose Privacy
Li Xueli,Huang Linghe(),Chen Jiaxing
School of Management, Hebei University, Baoding 071002, China
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摘要 

【目的】 针对已有社交媒体用户隐私披露意愿影响因素实证研究之间结果不一致的问题,对相关文献进行综合梳理和再分析。【方法】 检索国内外社交媒体用户隐私披露意愿相关实证研究,最终纳入55篇文献,利用CMA3.0软件进行异质性检验、偏倚分析和效应值分析,探索社交媒体用户隐私披露意愿影响因素的作用效果。【结果】 纳入元分析的8个影响因素中,习惯(r=0.520)与隐私披露意愿强相关,感知收益(r=0.426)、信任(r=0.309)与隐私披露意愿中度相关,感知控制(r=0.221)、匿名性(r=0.175)、隐私关注(r=-0.166)、感知风险(r=-0.135)与隐私披露意愿弱相关,主观规范与隐私披露意愿不相关。【局限】 仅研究了从影响因素到披露意愿的简单影响路径,可能有部分中介效应或调节效应尚未被发现。【结论】 基于元分析构建的社交媒体用户隐私披露意愿影响因素模型,可以更加全面地展示影响社交媒体用户隐私披露的因素,为社交媒体平台功能完善和服务优化提供理论指导,为相关领域后续研究提供参考。

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李雪丽
黄令贺
陈佳星
关键词 社交媒体隐私披露意愿影响因素元分析    
Abstract

[Objective] This paper comprehensively reviews the current literature, aiming to address the inconsistence issues facing empirical studies on influencing factors of social media users’ intention to disclose privacy. [Methods] First, we retrieved 55 relevant empirical studies published in China and abroad. Then, we used the CMA3.0 software to conduct heterogeneity test, publication bias test and effect value analysis, which helped us explore the needed influencing factors. [Results] Among the 8 influencing factors included in the meta-analysis, habit (r=0.520) was strongly correlated with privacy disclosure intention, while perceived benefit (r=0.426) and trust (r=0.309) were moderately correlated with privacy disclosure intention. Perceived control (r=0.221), anonymity (r=0.175), privacy concern (r=-0.166), and perceived risk (r=-0.135) were weakly correlated with privacy disclosure intention, while subjective norms were not related to privacy disclosure intention. [Limitations] This paper only studied the simple path from the influencing factors to disclosure intention, which might leave some mediating or moderating effects to be identified. [Conclusions] The meta-analysis based model could more effectively reveal the factors affecting the privacy disclosure of social media users, which provides theoretical guidance for improving services, and future studies.

Key wordsSocial Media    Intentions to Disclose Privacy    Influencing Factors    Meta-Analysis
收稿日期: 2021-08-05      出版日期: 2022-05-12
ZTFLH:  G252  
基金资助:*河北省社会科学基金项目(HB18TQ002)
通讯作者: 黄令贺,ORCID:0000-0001-5810-2630     E-mail: linghehuang@hbu.edu.cn
引用本文:   
李雪丽, 黄令贺, 陈佳星. 基于元分析的社交媒体用户隐私披露意愿影响因素研究*[J]. 数据分析与知识发现, 2022, 6(4): 97-107.
Li Xueli, Huang Linghe, Chen Jiaxing. Influencing Factors of Social Media Users’ Intentions to Disclose Privacy. Data Analysis and Knowledge Discovery, 2022, 6(4): 97-107.
链接本文:  
https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.2096-3467.2021.0801      或      https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2022/V6/I4/97
编码信息 操作性定义
基本信息 题名、作者、发表时间
样本量 研究回收的有效问卷数量
研究对象 文章研究的具体群体(如大学生、Facebook用户、微博用户)
研究平台 文章研究的社交媒体平台(如微博、微信或广泛的社交媒体)
影响因素 文章中涉及的影响隐私披露意愿的变量名称
相关系数 影响因素与隐私披露意愿的相关系数
t值、标准化回归系数 研究不提供相关系数时,查找相关的统计值
Table 1  文献编码框架
Fig.1  样本文献筛选流程
变量 K N 异质性( Q检验) Tau-squared
Q P I 2 Tau Ta u 2
感知收益 22 9 229 292.660 0.000 92.824 0.178 0.032
隐私关注 20 10 536 303.009 0.000 93.730 0.170 0.029
感知风险 16 6 090 193.655 0.000 92.254 0.178 0.032
信任 16 6 725 222.351 0.000 93.254 0.183 0.034
匿名性 14 2 826 171.104 0.000 92.402 0.251 0.063
感知控制 13 5 771 168.127 0.000 92.863 0.173 0.030
主观规范 7 3 681 773.636 0.000 99.224 0.504 0.254
习惯 4 1 475 17.484 0.001 82.842 0.116 0.014
Table 2  异质性检验结果
变量 k Egger检验 失效安全系数
95%的置信区间 T P
下限 上限
感知收益 22 -0.399 11.483 1.946 0.066 9 492
隐私关注 20 -9.593 5.300 0.606 0.552 1 277
感知风险 16 -6.720 18.667 1.009 0.330 487
信任 16 -5.991 12.738 0.773 0.453 2 538
匿名性 14 -1.826 11.303 1.573 0.142 165
感知控制 13 -9.289 13.319 0.392 0.702 891
主观规范 7 -74.287 6.466 2.159 0.083 361
习惯 4 -46.026 43.240 0.134 0.905 494
Table 3  发表偏倚分析结果
变量 k N r 95%置信区间 双尾检验
下限 上限 Z P
感知收益 22 9 229 0.426 0.360 0.488 11.474 0.000
隐私关注 20 10 536 -0.166 -0.241 -0.090 -4.238 0.000
感知风险 16 6 090 -0.135 -0.224 -0.045 -2.927 0.003
信任 16 6 725 0.309 0.222 0.391 6.696 0.000
匿名性 14 2 826 0.175 0.037 0.305 2.484 0.013
感知控制 13 5 771 0.221 0.126 0.313 4.490 0.000
主观规范 7 3 681 0.181 -0.189 0.506 0.957 0.339
习惯 4 1 475 0.520 0.422 0.606 8.977 0.000
Table 4  效应值分析结果
Fig.2  社交媒体用户隐私披露意愿影响因素模型
(注:显著性标注用*表示,*p<0.05,**p<0.01,***p<0.001。)
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