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AI disclosure labels in ads show no negative impact on performance

A study by MediaScience and the University of Adelaide has revealed that disclosing the use of AI in advertisements does not negatively impact key performance indicators. The research, which involved 900 US participants, found that continuous text labels were the most effective method for identifying AI-generated content, with nearly half of viewers correctly recognizing it. Overall, these labels had a minimal effect on metrics like brand recall and ad sentiment. AI

IMPACT AI disclosure labels in advertising do not hinder performance, suggesting a path for clearer communication with consumers.

RANK_REASON The cluster reports on a study's findings regarding the impact of AI disclosure labels in advertising. [lever_c_demoted from research: ic=2 ai=0.4]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI disclosure labels in ads show no negative impact on performance

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The cluster reports on a study's findings regarding the impact of AI disclosure labels in advertising. [lever_c_demoted from research: ic=2 ai=0.4]
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COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    # AI disclosure labels don’t hurt ad performance: Here’s what the numbers say A recent study by MediaScience and Adelaide University found that AI disclosure la

    # AI disclosure labels don’t hurt ad performance: Here’s what the numbers say A recent study by MediaScience and Adelaide University found that AI disclosure labels have minimal effect on key metrics such as brand recall and ad sentiment. https://www. marketingdive.com/news/ai-di…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Research from MediaScience finds that disclosing AI use in ads does not harm brand recognition or consumer sentiment. The study tested four labelling methods ac

    Research from MediaScience finds that disclosing AI use in ads does not harm brand recognition or consumer sentiment. The study tested four labelling methods across 900 US participants, with continuous text proving most effective - nearly half of viewers correctly identified AI-g…