We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Linking surveys and digital trace data: Insights from two studies on determinants of data sharing behaviour.
- Authors
Silber, Henning; Breuer, Johannes; Beuthner, Christoph; Gummer, Tobias; Keusch, Florian; Siegers, Pascal; Stier, Sebastian; Weiß, Bernd
- Abstract
Combining surveys and digital trace data can enhance the analytic potential of both data types. We present two studies that examine factors influencing data sharing behaviour of survey respondents for different types of digital trace data: Facebook, Twitter, Spotify and health app data. Across those data types, we compared the relative impact of four factors on data sharing: data sharing method, respondent characteristics, sample composition and incentives. The results show that data sharing rates differ substantially across data types. Two particularly important factors predicting data sharing behaviour are the incentive size and data sharing method, which are both directly related to task difficulty and respondent burden. In sum, the paper reveals systematic variation in the willingness to share additional data which need to be considered in research designs linking surveys and digital traces.
- Subjects
X Corp.; INFORMATION sharing; INCENTIVE (Psychology)
- Publication
Journal of the Royal Statistical Society: Series A (Statistics in Society), 2022, Vol 185, pS387
- ISSN
0964-1998
- Publication type
Article
- DOI
10.1111/rssa.12954