The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field
Open accessAbstract
While survey research has been at the heart of social science for decades and social scientific research with digital trace data has been growing rapidly in the last few years, until now, there are relatively few studies that combine these two data types. This may be surprising given the potential of linking surveys and digital trace data, but at the same time, it is important to note that the collection and analysis of such linked data are challenging in several regards. The three key issues are: (1) data linking including informed consent for individual-level studies, (2) methodological and ethical issues impeding the scientific (re)analysis of linked survey and digital trace data sets, and (3) developing conceptual and theoretical frameworks tailored toward the multidimensionality of such data. This special issue addresses these challenges by presenting cutting-edge methodological work on how to best collect and analyze linked data as well as studies that have successfully combined survey data and digital trace data to find innovative answers to relevant social scientific questions.
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Cited by
OSMUNDSEN, M., BOR, A., VAHLSTRUP, P. B., BECHMANN, A., & PETERSEN, M. B. (2021) · American Political Science Review · doi:10.1017/s0003055421000290 · Cited by 614
Riehm, K. E., Feder, K. A., Tormohlen, K. N., Crum, R. M., Young, A. S., Green, K. M., Pacek, L. R., La Flair, L. N., & Mojtabai, R. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.2325 · Cited by 511
(Almost) Everything in Moderation: New Evidence on Americans' Online Media Diets
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Echo Chambers on Social Media: A Systematic Review of the Literature
Ludovic Terren, L. T., & Rosa Borge-Bravo, R. B.-B. (2021) · Review of Communication Research · doi:10.12840/issn.2255-4165.028 · Cited by 272
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Metadata
- Authors
- Stier, S., Breuer, J., Siegers, P., & Thorson, K.
- Venue
- Social Science Computer Review
- Publisher
- SAGE Publications
- Published
- 2019-04-24
- Volume
- 38
- Issue
- 5
- Pages
- 503-516
- ISSN
- 0894-4393 (ISSN-L)
- 1552-8286
- OpenAlex
- W2941389565
- Cited by
- 312
- References
- 47
- FWCI
- 65.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
