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分享社交媒体数据:过往经历、态度、规范及感知行为控制的作用。

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

作者信息

Akdeniz Esra, Borschewski Kerrin Emilia, Breuer Johannes, Voronin Yevhen

机构信息

Data Services for the Social Sciences, GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany.

Survey Data Curation, GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany.

出版信息

Front Big Data. 2023 Jan 16;5:971974. doi: 10.3389/fdata.2022.971974. eCollection 2022.

Abstract

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.

摘要

社交媒体数据(SMD)已成为社会科学领域的重要数据源。本文旨在调查使用SMD进行研究的人员在研究中的经历和实践,并深入了解研究人员的共享行为及其决策的影响因素。为实现这些目标,我们对使用SMD的研究人员进行了一项调查研究。问卷涵盖了与获取、(再)使用和共享SMD相关的不同主题。为了考察对数据共享的态度、感知到的主观规范和感知到的行为控制,我们使用了基于计划行为理论(TPB)的问题。我们采用了定性和定量分析相结合的方法。定性分析结果表明,不共享SMD的主要原因是认为共享没有必要或不需要,以及法律和伦理挑战。定量分析显示,根据数据的共享方式(公开、受限访问或个人请求),过去的共享和再利用经历、遇到的挑战、态度、主观规范以及感知到的行为控制作为未来SMD共享意图预测因素的相对重要性存在差异。重要的是,TPB变量对所有类型的SMD共享都具有预测力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd85/9885192/3b26ac4f603f/fdata-05-971974-g0001.jpg

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