Paid to Look Like Truth: The Prevalence and Dark Patterns of Advertorials in News Outlets

2026-02-13

Technology Category

• Application Domains: Misinformation & Fake News
• Natural Language Processing: Fact-Checking / Misinformation Detection (NLP Focus)
• Game Theory and Economic Paradigms: Adversarial Learning

Application Category

• Responsible Web: Mitigating misinformation and disinformation
• User Modeling, Personalization and Recommendation: User modeling for targeted and personalized online advertising
• Web Mining and Content Analysis: Web data provenance, reliability, and authenticity

Abstract

A reader browsing through an online article is highly likely to encounter an advertorial, often without realizing it. Advertorials represent a relatively new marketing strategy where advertisements are deliberately designed to resemble the style and tone of editorial content. Despite their appearance, they are, in fact, paid content intended to promote a product, brand, or service. Studies indicate that advertorials are significantly more effective (81%) and less intrusive than traditional banner ads or pop-ups. Despite ongoing regulatory efforts to ensure clear disclosure of paid content, concerns persist about the deceptive nature of advertorials. Advertorials can mislead readers into believing that they are consuming unbiased editorial content. In doing so, they gain undeserved legitimacy, by draping themselves in the credibility of the publication's design; not to inform or inspire genuine interest, but to deceive. In this study, we conduct the first large-scale and systematic study of advertorials. We propose a novel automated methodology for detecting advertorials in the wild, and we collect 185K ad URLs over a period of 5 months. We investigate the prevalence of problematic advertorials and explore their structural and linguistic characteristics. We find that advertorials appear in 1 out of 3 news sites, including some of the most popular and credible outlets worldwide (e.g., The Guardian, EuroNews, CNN). We further highlight that legal disclaimers intended to inform users of the promotional nature of the content, are often deliberately obscured or difficult to recognize, raising concerns about user protection.

Problem

• advertorials
• deceptive advertising
• news outlets
• paid content
• user deception

Innovation

• advertorials
• automated detection
• dark patterns
• online advertising
• content disclosure