70/100

Moderate evidence

Labeling ads as AI-made raised trust in them, a survey experiment of 300 consumers finds

Study title: Transparency Disclosure Mechanisms for AI ‐Generated Advertising on Online Platforms: An Empirical Study of User Trust and Engagement

Evidence type
Randomized controlled trial
Sample
n = 300
Sources
1 sourcePeer-reviewed
Published
2 min read

Study title: Transparency Disclosure Mechanisms for AI ‐Generated Advertising on Online Platforms: An Empirical Study of User Trust and Engagement

A study published in Internet Technology Letters tested how consumers react when an AI-generated advertisement carries a transparency label. Researchers randomly assigned 300 digitally active consumers to see the same kind of ad with or without a disclosure label, inside an online survey.

Read the study abstract

ABSTRACT AI‐powered ads are revolutionizing digital marketing by generating content, tailoring targeting, and leveraging data analytics for more effective promotions on platforms like social media, search engines, and other digital channels. However, transparency, authenticity, and consumer trust issues have grown considerably. Many times, when consumers do not know that ad creation is supported by artificial intelligence technologies, they react negatively to the advertisements. This study explores consumer res…

The gain

In an online experiment with 300 digitally active consumers, adding a transparency label to an AI-generated ad increased trust in the ad and its credibility.

In brief

The authors report that disclosure improved consumers' trust and their view of the ad's credibility, especially for AI-generated advertisements. They also measured purchase intention and used regression and moderation analysis to test how disclosure shaped these relationships.

The work frames disclosure as a practical step for marketers, online platforms and policymakers who want responsible AI advertising. The authors say consumers often react negatively when they do not know AI helped create an ad, which is the problem the label is meant to address.

Main points

  1. The study randomly assigned 300 digitally active consumers to view an AI-generated ad with or without a transparency-disclosure label.
  2. It used a scenario-based (vignette) design embedded in an online survey.
  3. Regression and moderation analysis tested how disclosure affected trust, ad credibility and purchase intention.
  4. Disclosure increased consumers' trust and their sense of the ad's credibility, especially for AI-generated ads.
  5. The authors say consumers often react negatively when they are unaware AI supported ad creation.
  6. The paper offers suggestions for marketers, online platforms and policymakers on responsible AI advertising.

The full story

The experiment used a vignette approach: participants saw a scenario involving an AI-generated advertisement, and half saw it with a disclosure label while the rest saw it without. Random assignment lets the authors compare the two groups directly.

The outcomes were consumer trust, advertisement credibility and purchase intention. The authors used regression and moderation analysis to test relationships among these variables and to examine whether disclosure changed how consumers responded to AI-generated ads.

The authors conclude that labeling helps and recommend that marketers, platforms and policymakers adopt disclosure as part of responsible AI advertising. They describe AI ads as spanning content generation and targeting on social media, search engines and other digital channels.

Sources

1 on file
  1. Internet Technology Lettersdoi:10.1002/itl2.70354
    Peer-reviewed2026-07-01

Talk it over

Four questions to start on
Who gets this benefit, and who was left out of the study or story?

Start with a question

Labeling ads as AI-made raised trust in them, a survey experiment of 300 consumers findshttps://truvace.com/item/transparency-disclosure-mechanisms-for-ai-generated-advertising-on-online-platfo

  1. Who gets this benefit, and who was left out of the study or story?

    The gain In an online experiment with 300 digitally active consumers, adding a transparency label to an AI-generated ad increased trust in the ad and its credibility.

    Answer in the thread
  2. How do we know? What can this kind of evidence show, and what can’t it?

    The evidence This rests on a randomized controlled trial with a sample of 300, from Internet Technology Letters.

    Answer in the thread
  3. What does it leave open? What else would you want to know before acting on it?

    The record’s own caveat The finding rests on a scenario-based vignette in an online survey of 300 consumers, not on real ad campaigns or observed purchases.

    Answer in the thread
  4. Have you seen AI used this way where you study, work or live? Did it go the same way?

    Answer in the thread

The questions are the same on every record. The details under them are taken from this record as written.

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