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IAS EXPANDS BRAND SAFETY AND SUITABILITY MEASUREMENT TO INCLUDE REPORTING ON THE TOPIC OF MISINFORMATION

IAS EXPANDS BRAND SAFETY AND SUITABILITY MEASUREMENT TO INCLUDE REPORTING ON THE TOPIC OF MISINFORMATION

IAS擴大了品牌安全性和適用性衡量標準,將有關錯誤信息的報道包括在內
PR Newswire ·  04/16 07:00

GARM-Aligned AI-Driven Solution Provides Added Confidence Campaigns Run Against Brand Safe & Suitable Content

與 GARM 一致的人工智能驅動解決方案可增強信心活動 與品牌安全和合適的內容對抗

NEW YORK, April 16, 2024 /PRNewswire/ -- Integral Ad Science (Nasdaq: IAS), a leading global media measurement and optimization platform, today 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.

紐約,2024年4月16日 /PRNewswire/ — 全球領先的媒體衡量和優化平台Integral Ad Science(納斯達克股票代碼:IAS)今天宣佈擴大其品牌安全和適用性評估產品,現在將Facebook和Instagram Feed和Reels上的全球責任媒體聯盟(GARM)類別的錯誤信息包括在內。

IAS expands Meta brand safety and suitability measurement to now include the GARM category for Misinformation.
IAS 擴展了元品牌安全性和適用性衡量標準,現在將錯誤信息的 GARM 類別包括在內。

Facebook and Instagram already prohibit ads from running alongside content that's been labeled 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 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.

Facebook 和 Instagram 已經禁止廣告與貼有 “標籤” 的內容一起投放 錯誤信息 由其第三方事實覈查人員或違反其政策的行爲。但是,廣告商通常希望更好地控制與廣告一起投放的帖子和內容的主題。IAS的工具已經允許廣告商評估其廣告是否與全球責任媒體聯盟(GARM)框架定義的潛在不合適內容一起投放。現在,廣告商將能夠查看他們的廣告何時與以錯誤信息爲主題的內容一起投放。

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.

IAS 的人工智能驅動的總體媒體質量 (TMQ) 產品包括品牌安全性和適用性測量技術,該技術將圖像、音頻和文本信號與全面的逐幀視頻分析相結合,以大規模準確地對源中的內容進行分類。TMQ進一步保證了廣告商的活動與品牌合適的內容相鄰。

"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首席執行官麗莎·烏茨施耐德表示:“我們很高興能夠改進我們的TMQ解決方案,納入GARM類別的錯誤信息,這使營銷人員能夠更好地控制其品牌的聲譽,尤其是在今年的美國大選之前。”“我們不斷創新,並在與Meta等全球最大平台的合作伙伴關係的基礎上再接再厲,爲我們的客戶提供了更多的信心,同時確保他們通過IAS的數據和技術推動卓越的業績。”

Meta has a comprehensive policy and approach to misinformation — removing misinformation where it is likely to directly contribute to the risk of imminent physical harm and partnering with the world's largest network of third-party fact-checkers to label and reduce the distribution of other forms of misinformation. Ads won't appear next to content that's been identified as misinformation, or any content that violates Meta's policies. Instead, IAS measures if ads have appeared next to content that discusses or has to do with the GARM-aligned category of misinformation.

Meta 有一個 處理錯誤信息的全面政策和方法 — 刪除可能直接導致迫在眉睫的人身傷害風險的錯誤信息,並與世界上最大的第三方事實覈查網絡合作,標記和減少其他形式的錯誤信息的傳播。廣告不會出現在被認定爲錯誤信息的內容或任何違反 Meta 的內容旁邊 策略。取而代之的是,IAS 會衡量廣告是否出現在討論或與之相關的內容旁邊 與 GARM 一致的錯誤信息類別

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 根據 GARM 品牌安全和適用性框架對內容進行分類,並向廣告商提供報告,讓他們在 Meta 上量身定製適用性設置。IAS提供的內容層面報告使廣告商能夠全面、準確地了解其廣告投放的主題和內容,並根據自己所需的風險狀況調整廣告活動。

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

IAS還爲Facebook和Instagram Feed和Reels上的廣告商推出新的特性和功能:

  • 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.
  • 擴大了內容層面的透明度: IAS Signal是該公司的統一報告平台,提供廣告商輕鬆管理其數字活動所需的數據和見解。現在,IAS Signal爲與Facebook和Instagram Feed和Reels上的廣告商廣告相鄰的所有符合條件的內容提供符合GARM框架的增強內容層面報告。
  • 簡化的用戶體驗: 廣告商現在可以訪問易於使用的視覺效果,以了解廣告在整個GARM框架內的表現,從而使廣告商能夠根據需要驗證或調整其適用性控制。
  • 增強的報告功能: IAS Signal現在允許廣告商直觀地跟蹤一段時間內的品牌安全性和適用性表現,從而清晰地了解策略調整的有效性。此功能可確保廣告商能夠精確定位其變更的影響,精確地優化品牌一致性和活動結果。

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.

2月,IAS宣佈與Meta合作,在Facebook和Instagram Feed和Reels上推出由人工智能驅動的總體媒體質量(TMQ)品牌安全性和適用性評估,爲廣告商提供業界領先的先進衡量標準。

About Integral Ad Science

關於 Integral Ad

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry's most actionable data to drive superior results for the world's largest advertisers, publishers, and media platforms. IAS's software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Integral Ad Science (IAS) 是全球領先的媒體衡量和優化平台,可提供業界最具可操作性的數據,爲全球最大的廣告商、出版商和媒體平台帶來卓越的業績。IAS的軟件提供了全面而豐富的數據,可確保真實的人在安全和合適的環境中看到廣告,同時提高廣告商的廣告支出回報率和發佈商的收益。我們的使命是成爲數字媒體質量信任和透明度的全球基準。欲了解更多信息,請訪問 integralads.com。

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SOURCE Integral Ad Science, Inc.

來源 Integral AdScience, Inc.

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