Balancing privacy versus accuracy in research protocols
Abstract
Restricting data at collection, processing, or release
Integrity signals
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Scientists and journalists have pressed for greater scrutiny of the use of social data against possible ethical pitfalls, such as breaching users' privacy or enabling racial, socioeconomic or gender-based profiling.
“both scientists (Dwork and Mulligan, 2013; Barocas and Selbst, 2016) and journalists (Hill, 2014; Kirchner, 2015) have pressed for greater scrutiny of the use of social data against possible ethical pitfalls, such as breaching users privacy (Goroff, 2015), or enabling racial, socioeconomic or gender-based profiling (Barocas and Selbst, 2016).”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Goroff, 2015
Archiving personal data for too long, or sharing poorly anonymized datasets publicly, contribute to privacy breaches as this data can be combined with other sources to gain insights about people without their knowledge.
“Further, archiving personal data for too long, or sharing poorly anonymized datasets publicly, contribute to privacy breaches as this data can be combined with other sources to gain insights about people without their knowledge (Crawford and Finn, 2014; Goroff, 2015; Horvitz and Mulligan, 2015).”
From Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019) · cites this paper as Goroff, 2015
Cited by
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019) · Frontiers in Big Data · doi:10.3389/fdata.2019.00013 · Cited by 763 · see citing works
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A., Castillo, C., Diaz, F., & Kiciman, E. (2016) · doi:10.2139/ssrn.2886526 · Cited by 763 · see citing works
- Authors
- Goroff, D. L.
- Affiliations
- Alfred P. Sloan Foundation (US)
- Corresponding author
- Goroff, Daniel L.
- ORCID
- Goroff, Daniel L.
- Venue
- Science
- Published
- 2015-01-30
- Volume
- 347
- Issue
- 6221
- Pages
- 479-480
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2073413752
- Cited by
- 22
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 2 · 2019: 4 · 2018: 3 · 2017: 2 · 2016: 3 · 2015: 2
- FWCI
- 3.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Ethics in Clinical Research
- Keywords
- privacy, data accuracy, data access restrictions, data processing, data release, data sharing
- MeSH terms
- Confidentiality, Data Collection, Humans, Public Policy, Research Design, United States, Privacy, Access to Information, Data Curation
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