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IAS allows advertisers to review ads when run alongside misinformative content on Meta

IAS’s AI-driven Total Media Quality (TMQ) product includes Brand Safety and Suitability Measurement technology that combines image, audio, and text signals with comprehensive frame-by-frame video analysis to classify content accurately in the feed, at scale

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Delhi: Integral Ad Science, a global media measurement and optimisation platform, announced the expansion of its Brand Safety and Suitability Measurement product to now include the Global Alliance for Responsible Media (GARM) category of misinformation across Facebook and Instagram Feed and Reels. 

Facebook and Instagram already prohibit ads from running alongside content that’s been labelled as misinformation by its third-party fact checkers or that violates its policies. However, advertisers often want more control over the topics of posts and content that their ads run alongside. 

IAS’s tools already aim to allow advertisers to assess if their ads are running alongside potentially unsuitable content as defined by the Global Alliance for Responsible Media (GARM) framework. Now, advertisers will be able to review when their ads run alongside content on the subject of misinformation. 

IAS’s AI-driven Total Media Quality (TMQ) product includes Brand Safety and Suitability Measurement technology that combines image, audio, and text signals with comprehensive frame-by-frame video analysis to classify content accurately in the feed, at scale. TMQ provides further reassurance that advertisers’ campaigns are running adjacent to brand suitable content. 

“We’re excited to evolve our TMQ solution to include the GARM category of misinformation which gives marketers more control over their brands’ reputations, especially ahead of this year’s U.S. elections,” said Lisa Utzschneider, CEO of IAS. “We are constantly innovating and building on our partnerships with the world’s largest platforms like Meta, providing added confidence for our customers while ensuring they are driving superior results through IAS’s data and technology.”

IAS classifies content according to the GARM Brand Safety and Suitability Framework and provides reporting to advertisers for them to tailor suitability settings on Meta. Content-level reporting provided by IAS allows advertisers to get a full, accurate picture of the subject matter and content their ads are running adjacent to, and adjust their campaigns based on their own desired risk profiles. 

IAS is also launching new features and functionality for advertisers across Facebook and Instagram Feed and Reels: 

  • Expanded content-level transparency: IAS Signal, the company’s unified reporting platform delivering data and insights advertisers need to easily manage their digital campaigns, now provides enhanced content-level reporting, aligned to the GARM framework, for all eligible content running adjacent to an advertisers’ ad on Facebook and Instagram Feed and Reels.
  • Simplified user experience: Advertisers can now access easy-to-use visuals to understand how campaigns are performing across the GARM framework, allowing advertisers to validate or adjust their suitability controls as needed.
  • Enhanced reporting features: IAS Signal now allows advertisers to visually track brand safety and suitability performance over time, providing a clear view of the effectiveness of strategy adjustments. This capability ensures advertisers can pinpoint the impact of their changes, optimizing brand alignment and campaign results with precision.

In February, IAS announced the availability of its AI-driven Total Media Quality (TMQ) Brand Safety and Suitability Measurement across Facebook and Instagram Feed and Reels in partnership with Meta to offer advertisers coverage for advanced, industry-leading measurement. 

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