Endorsements on Social Media: An Empirical Study of Affiliate Marketing Disclosures on YouTube and Pinterest
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Abstract (arXiv)
Online advertisements that masquerade as non-advertising content pose numerous risks to users. Such hidden advertisements appear on social media platforms when content creators or "influencers" endorse products and brands in their content. While the Federal Trade Commission (FTC) requires content creators to disclose their endorsements in order to prevent deception and harm to users, we do not know whether and how content creators comply with the FTC's guidelines. In this paper, we studied disclosures within affiliate marketing, an endorsement-based advertising strategy used by social media content creators. We examined whether content creators follow the FTC's disclosure guidelines, how they word the disclosures, and whether these disclosures help users identify affiliate marketing content as advertisements. To do so, we first measured the prevalence of and identified the types of disclosures in over 500,000 YouTube videos and 2.1 million Pinterest pins. We then conducted a user study with 1,791 participants to test the efficacy of these disclosures. Our findings reveal that only about 10% of affiliate marketing content on both platforms contains any disclosures at all. Further, users fail to understand shorter, non-explanatory disclosures. Based on our findings, we make various design and policy suggestions to help improve advertising disclosure practices on social media platforms.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Sep 2018.
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Citing papers per year: 2022: 2; 2023: 0; 2024: 1; 2025: 1.
4 papers.
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversightcited by 15
- 2022Dark patterns in e-commerce: a dataset and its baseline evaluationscited by 3
- 2024The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagementcited by 3
- 2022The Case for a Legal Compliance API for the Enforcement of the EU's Digital Services Act on Social Media Platformscited by 0
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight12 Sep 2025
- 2024The Monetisation of Toxicity: Analysing YouTube Content Creators and Controversy-Driven Engagement1 Aug 2024
- 2022Dark patterns in e-commerce: a dataset and its baseline evaluations12 Nov 2022
- 2022The Case for a Legal Compliance API for the Enforcement of the EU's Digital Services Act on Social Media Platforms13 May 2022