Sounder and Urban One Release Groundbreaking Research on AI/ML-Driven Brand Safety and Suitability for Podcasting

Rhea-AI Summary

Sounder and Urban One release groundbreaking research on AI/ML-driven brand safety and suitability for podcasting, highlighting the inaccuracies of keyword-based approaches and the potential for greater inclusivity and monetization for diverse content creators.

Positive

• Sounder's AI-based technology accurately classifies diverse podcast content, leading to greater inclusivity, representation, and advertising opportunities for underrepresented voices.
• When applying a semantically and contextually focused AI/ML-based model, only 10% of Urban One's podcast episodes are potentially unavailable for monetization.

Negative

• Traditional keyword-based approaches to brand safety and suitability are often inaccurate and can lead to the under-monetization of diverse content.
• Transcription errors can lead to misclassifications and further marginalization of Black creators.

Sounder's AI-Powered Classification Technology Outperforms Keyword Analysis for Multicultural Audio Content, Encouraging Greater Monetization

NEW YORK, Aug. 2, 2023 /PRNewswire/ -- Sounder, a leading AI-powered brand safety solution in podcasting, and Urban One, the largest diversified Black-owned media organization in the United States, today released the findings of a groundbreaking research project on AI/ML-driven brand safety and suitability for podcasting.

The research, which was conducted in partnership with Radio One & Reach Media, Urban One's audio divisions, as well as the new Urban One Podcast Network, found that AI/ML-driven tools can accurately classify diverse content, leading to greater inclusivity, representation, and advertising opportunities for underrepresented voices.

"This research is a significant step forward in ensuring equal monetization opportunities for diverse creators in podcasting," said Kal Amin, co-founder and CEO of Sounder. "By addressing concerns about AI/ML-driven brand safety and suitability models, Sounder's AI-based technology supports authentic and inclusive content representation."

The research found that traditional keyword-based approaches to brand safety and suitability are often inaccurate and can lead to the under-monetization of diverse content. For example, a keyword-based approach might flag a podcast episode that discusses race or social justice as unsafe, even if the episode features a well-produced, informative and educational conversation that is respectful of all viewpoints.

In contrast, Sounder's AI-based technology is able to understand the context of a podcast episode and accurately assess its suitability for advertising. This means that Black content creators who share their unique stories and perspectives can be confident that their content has the ability to be appropriately classified and monetized.

Additional findings include:

• When applying a standard keyword blocklist solution to Urban One's podcast content, an overwhelming 92% of all episodes are removed from available inventory.
• When applying a semantically and contextually focused AI/ML-based model to classify brand safety and suitability, only 10% of episodes are potentially unavailable for monetization.
• Transcription quality is important for accurately classifying content. If Black English (AAVE) is transcribed incorrectly, this can lead to misclassifications and further marginalization of Black creators.

"At Urban One, we are passionate about having real, authentic dialogue with our audience around topics that matter to them, while also creating equitable conversations with brands and agencies, ensuring that they can invest confidently in brand safe, relevant environments," said Josh Rahmani, CRO, Urban One, Audio Division. "This research is a step in the right direction to help advertisers see the bias that exists in legacy brand safety solutions which disproportionately impact Black-owned and Black-targeted media."

The research findings have implications for the entire podcasting industry. As podcasting continues to grow in popularity, it is essential that the industry finds ways to ensure that all voices are represented. By using AI/ML-driven tools that are designed without bias, the podcasting industry can create a more inclusive and equitable space for all creators.

The full research report is available on the Sounder website here: https://www.sounder.fm/urbanone-suitability-whitepaper

About Urban One, Inc.
Urban One, Inc. (urban1.com), together with its subsidiaries, is the largest diversified media company that primarily targets Black Americans and urban consumers in the United States. The company owns TV One, LLC (tvone.tv), a television network serving more than 59 million households, offering a broad range of original programming, classic series, and movies designed to entertain, inform and inspire a diverse audience of adult Black viewers. As of June 2023, Urban One currently owns and/or operates 66 independently formatted, revenue-producing broadcast stations (including 55 FM or AM stations, 9 HD stations, and the 2 low-power television stations we operate) branded under the tradename "Radio One" in 13 urban markets in the United States. Through its controlling interest in Reach Media, Inc.

(blackamericaweb.com), the Company also operates syndicated programming, including the Rickey Smiley Morning Show, the Russ Parr Morning Show, and the DL Hughley Show. In addition to its radio and television broadcast assets, Urban One owns iOne Digital (ionedigital.com), our wholly-owned digital platform serving the African American community through social content, news, information, and entertainment websites, including its Cassius, Bossip, HipHopWired, and MadameNoire digital platforms and brands. Through our national multi-media operations, we provide advertisers with a unique and powerful delivery mechanism to African American and urban audiences.

About Sounder
Sounder is an industry-leading Al company specializing in podcast content classification. Its advanced technology enables precise content discovery and recommendations, providing brand safety and suitability solutions, and contextual intelligence to podcast creators and consumers.

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SOURCE Urban One, Inc.

FAQ

What is the research about?

The research is about AI/ML-driven brand safety and suitability for podcasting, highlighting the inaccuracies of keyword-based approaches and the potential for greater inclusivity and monetization for diverse content creators.

What are the implications of the research findings?

The research findings have implications for the entire podcasting industry, emphasizing the need for inclusive and equitable spaces for all creators.

How does Sounder's AI-based technology benefit diverse content creators?

Sounder's AI-based technology accurately classifies diverse podcast content, leading to greater inclusivity, representation, and advertising opportunities for underrepresented voices.

What percentage of Urban One's podcast episodes are potentially unavailable for monetization with the AI/ML-based model?

Only 10% of Urban One's podcast episodes are potentially unavailable for monetization when using the semantically and contextually focused AI/ML-based model.

What are the risks of using traditional keyword-based approaches to brand safety and suitability?

Traditional keyword-based approaches are often inaccurate and can lead to the under-monetization of diverse content.

How can transcription errors impact content classification?

Transcription errors, especially in the case of Black English (AAVE), can lead to misclassifications and further marginalization of Black creators.