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IAS Fights YouTube Mis信息 With Expanded Detection Offering

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During this tumultuous election year, as concerns mount over online mis信息, 整合广告科学 (IAS), a leading global media measurement and optimization platform, has expanded its industry-aligned mis信息 suitability and brand safety reporting for advertisers running campaigns across YouTube 广告库存.

的 IAS's Total Media Quality (TMQ) solution suite offers useful third-party assurance that advertisements run alongside appropriate, 品牌安全内容. In addition to YouTube's internal regulations and processes, IAS's mis信息 measurement provides independent verification.

“Brand safety is a top priority for marketers as we approach upcoming marquee global media events. We are empowering marketers with enhanced products like our expanded Total Media Quality for YouTube, which now offers IAS’s mis信息 reporting,丽莎·乌茨施奈德说, 国际会计准则首席执行官. “We’re excited to offer the ability to detect mis信息 with our best-in-class measurement solution.”

在最近的 article乌茨施耐德写道:“IAS’s 品牌安全状况报告 revealed that consumers are deeply concerned about mis信息, with 75% feeling less favorable toward brands that advertise on sites spreading false content, and 72% holding brands accountable for the content around their ads. Instead of heavy-handed approaches that harm quality 出版商, let’s work as an industry to identify a more thoughtful approach to avoiding mis信息 (and where it thrives unchecked), 让广告商, 出版商, and platforms to respond forcefully and rapidly to prevent its spread."

IAS 2024行业脉搏 report found that media experts emphasize inserting advertisements alongside media supporting reliable journalism and morally sound content, indicating that responsible media practices are also becoming more widespread.

Regarding the key parameters IAS uses to detect and identify mis信息 and the ways that this detection is industry-aligned, IAS provides video-level reporting that allows advertisers to get a complete, accurate picture of the content their ads are running adjacent to and adjust their campaigns based on their own desired suitability profiles. Total Media Quality for YouTube offers granular classification through daily reporting across 12 categories (including mis信息) and four risk thresholds, allowing advertisers to stay informed and make optimizations at scale.

This innovation not only ensures greater protection against mis信息 but also aligns with YouTube’s commitment to maintaining a safe and trustworthy environment for both viewers and advertisers. By integrating IAS’s mis信息 categorization and advanced detection tools, YouTube advertisers can leverage the most accurate and actionable data available, enhancing their brand safety efforts in a way that stands out from competitors.

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