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Restoring Trust in the AI Era: A Field Study of FTC-Compliant Paid Endorsement Disclosures in Influencer Marketing
- Kaeya Majmundar
- Rajat Mohindroo
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Category: Project
Description: This field study evaluates whether embedding a statutory-grade compliance framework — the Disclosure Integrity Protocol (DIP) — into influencer marketing workflows can reduce consumer deception, improve FTC disclosure adherence, and lower compliance costs. Implemented through the SwayID Smart Disclosure System, DIP replaces ad hoc disclosures with audit-grade infrastructure — especially important for protecting vulnerable groups like teens exposed to sponsored content on TikTok. The study measures pre/post changes in consistency, legal defensibility, and operational burden across U.S. beauty brands.
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Components
Registration
This component contains the full pre-registered protocol for the SwayID Smart Disclosure System field study. It establishes the study’s objectives, de...
Recruitment and Consent
This section contains recruitment materials and consent templates for participating brands. It outlines inclusion criteria and participation agreement...
Audit Rubric and Codebook
This section contains the pre-registered FTC compliance audit rubric used to score each disclosure post, along with a scoring codebook for reproducibi...
Data Collection Instruments and Schemas
This section includes structured data templates, schemas, and instruments used to log compliance metrics, creator coordination activity, and interview...
Analysis Plan and Results
This component contains the statistical analysis plan for primary and secondary outcomes. Final results will be added here post-fieldwork.
Publication and Dissemination Materials
This section will house the final report, public dissemination outputs, and links to SwayID’s research homepage and blog posts tied to the field study...
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