您有两分钟时间谈论您的数据吗？Facebook 数据捐赠中的参与意愿和不参与偏差

IF 1.1 3区社会学 Q2 ANTHROPOLOGY

Field Methods Pub Date : 2024-01-11 DOI:10.1177/1525822x231225907

Florian Keusch, Paulina K. Pankowska, Alexandru Cernat, Ruben L. Bach

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引用次数: 0

摘要

数据捐赠是一种收集数字痕迹数据的新方法，即要求用户从平台上下载他们的回顾数据并与研究人员分享。人们对捐赠数据的意愿以及不参与可能产生的潜在偏差知之甚少。我们对 900 多名德国 Facebook 用户进行了一项研究，要求他们捐赠两个数据包。虽然约 80% 的参与者愿意捐赠数据，但只有约三分之一的人成功捐赠了数据。对研究人员的信任与捐赠意愿和捐赠成功率呈正相关，而对 Facebook 的信任与捐赠成功率呈负相关。数据捐赠请求的框架并不影响结果。我们发现，捐赠者和非捐赠者使用 Facebook 的频率没有差异。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Do You Have Two Minutes to Talk about Your Data? Willingness to Participate and Nonparticipation Bias in Facebook Data Donation

Data donation is a novel approach to collecting digital trace data, where users are asked to download their retrospective data from a platform and share them with the researchers. Little is known about the willingness to donate data and the potential bias that may arise from nonparticipation. We conducted a study among over 900 German Facebook users asking them to donate two data packages. While around 80% of participants were willing to donate their data, only around one-third of them successfully did so. Trust in researchers positively correlates with willingness and donation success, and trust in Facebook is negatively associated with donation success. The framing of the data donation request did not affect the outcomes. We find no difference in frequency of Facebook use between donors and non-donors.

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来源期刊

Field Methods Multiple-

CiteScore

2.70

自引率

5.90%

发文量

期刊介绍： Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.