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No Recognised Ethical Standards, No Broad Consent: Navigating the Quandary in Computational Social Science Research

Authors :
Seliem El-Say
Filip Paspalj
Source :
Research Ethics. 2024 20(3):433-452.
Publication Year :
2024

Abstract

Recital 33 GDPR has often been interpreted as referring to 'broad consent'. This version of informed consent was intended to allow data subjects to provide their consent for certain areas of research, or parts of research projects, conditional to the research being in line with 'recognised ethical standards'. In this article, we argue that broad consent is applicable in the emerging field of Computational Social Science (CSS), which lies at the intersection of data science and social science. However, the lack of recognised ethical standards specific to CSS poses a practical barrier to the use of broad consent in this field and other fields that lack recognised ethical standards. Upon examining existing research ethics standards in social science and data science, we argue that they are insufficient for CSS. We further contend that the fragmentation of European Union (EU) law and research ethics sources makes it challenging to establish universally recognised ethical standards for scientific research. As a result, CSS researchers and other researchers in emerging fields that lack recognised ethical standards are left without sufficient guidance on the use of broad consent as provided for in the GDPR. We conclude that responsible EU bodies should provide additional guidance to facilitate the use of broad consent in CSS research.

Details

Language :
English
ISSN :
1747-0161 and 2047-6094
Volume :
20
Issue :
3
Database :
ERIC
Journal :
Research Ethics
Publication Type :
Academic Journal
Accession number :
EJ1432676
Document Type :
Journal Articles<br />Reports - Evaluative
Full Text :
https://doi.org/10.1177/17470161241247686