Sounder and Urban One Release Groundbreaking Research on AI/ML-Driven Brand Safety and Suitability for Podcasting
Sounder's AI-Powered Classification Technology Outperforms Keyword Analysis for Multicultural Audio Content, Encouraging Greater Monetization
The research, which was conducted in partnership with Radio One & Reach Media,
"This research is a significant step forward in ensuring equal monetization opportunities for diverse creators in podcasting," said
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'spodcast 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
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
(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,
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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Sounder Contact: Kristin Kovner, firstname.lastname@example.org; Urban One Contact: Karen Wishart, email@example.com