← Market Research: Foundations to Practice
Survey Data Quality and Fraud Prevention
Chapters
- 1.The Scale of the Fraud Problem
- 2.AI-Generated Survey Responses
- 3.Data Cleaning and Exclusion Criteria
- 4.Building a Data Quality Culture
References
- AI Survey Fraud: The New Research Quality Crisis — Borderless Access, 2026
- AI and the Future of Research Panel Quality — Virtual Incentives, 2026
- AI, Bots, and the Real Threat to Online Research Data Quality — CloudResearch, 2026
- Fraudulent respondents and bots in nonprobability surveys: A literature review — NORC at the University of Chicago, 2026
- Detecting LLM survey bots: types, detection methods, prevalence — Conjointly, 2026
- The Hidden Costs of AI-Mediated Political Outreach — arXiv, 2026