Sharing social media data: The role of past experiences, attitudes, norms, and perceived behavioral control

被引:3
|
作者
Akdeniz, Esra [1 ]
Borschewski, Kerrin Emilia [1 ]
Breuer, Johannes [2 ,3 ]
Voronin, Yevhen [1 ]
机构
[1] Leibniz Inst Social Sci, Data Serv Social Sci, GESIS, Cologne, Germany
[2] Leibniz Inst Social Sci, Survey Data Curat, GESIS, Cologne, Germany
[3] Leibniz Inst Social Sci, Ctr Adv Internet Studies CAIS, GESIS, Cologne, Germany
来源
FRONTIERS IN BIG DATA | 2023年 / 5卷
基金
欧盟地平线“2020”;
关键词
social media data; Theory of Planned Behavior; data sharing; data reuse; data management; PLANNED BEHAVIOR; DATA REPOSITORIES; CHALLENGES; HABIT; COMMUNICATION; RESEARCHERS; DRINKING; MODEL;
D O I
10.3389/fdata.2022.971974
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Social media data (SMD) have become an important data source in the social sciences. The purpose of this paper is to investigate the experiences and practices of researchers working with SMD in their research and gain insights into researchers' sharing behavior and influencing factors for their decisions. To achieve these aims, we conducted a survey study among researchers working with SMD. The questionnaire covered different topics related to accessing, (re)using, and sharing SMD. To examine attitudes toward data sharing, perceived subjective norms, and perceived behavioral control, we used questions based on the Theory of Planned Behavior (TPB). We employed a combination of qualitative and quantitative analyses. The results of the qualitative analysis show that the main reasons for not sharing SMD were that sharing was not considered or needed, as well as legal and ethical challenges. The quantitative analyses reveal that there are differences in the relative importance of past sharing and reuse experiences, experienced challenges, attitudes, subjective norms, and perceived behavioral control as predictors of future SMD sharing intentions, depending on the way the data should be shared (publicly, with restricted access, or upon personal request). Importantly, the TPB variables have predictive power for all types of SMD sharing.
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页数:16
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