Turning Trust to Transactions: Tracking Affiliate Marketing and FTC Compliance in YouTube's Influencer Economy

A team of computer science researchers from leading institutions has published a groundbreaking study titled 'Turning Trust to Transactions: Tracking Affiliate Marketing and FTC Compliance in YouTube's Influencer Economy' on arXiv. The paper, accepted at ICWSM 2026, introduces novel tools combining Web measurement techniques and NLP (Natural Language Processing) to systematically analyze the $2B+ affiliate marketing ecosystem on YouTube. The researchers examined a massive dataset spanning 10 years, covering 2 million videos from nearly 540,000 creators, revealing that while affiliate marketing has become ubiquitous, regulatory compliance remains alarmingly low despite FTC guidelines requiring clear disclosures.

The technical analysis shows most videos containing affiliate links fail to meet FTC disclosure standards, creating significant consumer protection risks. The study's NLP tools detected patterns of non-compliant behavior across categories, with certain product verticals showing particularly poor disclosure rates. Importantly, the research found that platform-level interventions—like YouTube's standardized disclosure features—are highly associated with improved compliance, suggesting that collaboration between regulators, affiliate partners, and platforms could dramatically enhance transparency. The findings have immediate implications for content platforms, regulatory agencies, and the broader influencer economy, pointing toward automated compliance monitoring as a necessary evolution for the industry.