Full Description
Research Ethics, Integrity, and Transparency guides researchers through ethics, integrity and transparency when using big data, social media and AI, with practical advice on consent, GDPR, bias and open science.
Bringing research ethics into the realities of digital data, this volume helps readers plan, run and publish studies that can stand up to scrutiny. It reframes ethics and transparency as enabling conditions for trustworthy work, not a bureaucratic afterthought, and shows how to translate principles into defensible choices across the full research workflow.
Key features include:
· Guidance on informed consent and dynamic consent for online and platform-based research
· GDPR-aware approaches to data protection, governance, anonymisation, and documentation
· Practical routes to transparency, preregistration, data sharing, and reproducibility that still protect confidentiality
· Responsible use of AI in research, including disclosure, bias checks, and avoidance of "black box" practice
· A clear view of algorithmic accountability and the regulatory landscape shaping research practice
Written for PhD candidates and early-career researchers across the social sciences and management, this book also supports supervisors, methods instructors, research ethics committees and research offices who need an up-to-date reference for integrity and transparency in the digital age.
Contents
Introduction, 1. Ethical Frameworks and IRB Processes, 2. Legal Aspects: Data Privacy (GDPR and Data Protection Law), Consent, and Protection, 3. Responsible Use of AI in Research, 4. Bias and Fairness in Social Data, 5. Transparency, Reproducibility, and Open Science, 6. Informed Consent in the Digital Age, 7. Algorithmic Accountability and Regulation, 8. References.
