ABSTRACT

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.

Written for PhD candidates and early-career researchers across the social sciences and management, this volume 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.

chapter |13 pages

Introduction

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chapter 1|20 pages

Ethical Frameworks and IRB Processes

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chapter 2|15 pages

Legal Aspects

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Data Privacy (GDPR and Data Protection Law), Consent, and Protection
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chapter 3|16 pages

Responsible Use of AI in Research

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chapter 4|13 pages

Bias and Fairness in Social Data

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chapter 5|8 pages

Transparency, Reproducibility, and Open Science

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chapter 6|9 pages

Informed Consent in the Digital Age

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chapter 7|16 pages

Algorithmic Accountability and Regulation

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chapter |10 pages

Conclusion

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