Ethical Dilemmas and Coping Strategies in the Use of Psychological Scales in the Era of Big Data
Year: 2025
Type: article
Abstract: Focusing on the ethical risks arising from the reconstruction of psychological scales due to innovations in big data technology, a systematic analysis is conducted on the research and current use of psychological scales within the context of big data. Ethical issues are explored across five dimensions: data privacy and security, the effectiveness of informed consent, data bias and algorithmic worship, sociocultural sensitivity, and the marginalization of vulnerable groups' rights. In response, five strategies are proposed: establishing a comprehensive data lifecycle protection mechanism, innovating informed consent models, optimizing algorithm fairness assessments, constructing diverse datasets, and empowering vulnerable groups. Future research and practice must seek a balance between technological innovation and ethical safeguards to ensure the fairness, transparency, and sustainable development of psychological scales in the era of big data.
Authors: Lirong LIU, Yanan ZHENG
Institution: Gannan Medical University
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6884719339
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