Socialcontext detects diversity, equity and inclusion ad opportunities on news content. Our patent-pending deep learning approach is built by journalism, advertising and data science professors at the University of Colorado Boulder. We positively target news articles with unrivaled precision and safety. Socialcontext allows advertisers meet their DEI goals by enabling them to invest in ads on news content that match their core values. Each algorithm socialcontext builds is designed to identify only quality, credible journalism that brings awareness to positive social change. Socialcontext expands the programmatic reach of advertisers and recovers ~20% of impressions blocked due to overbroad brand safety. Using deep learning each algorithm is built on data from real human experts. Each socialcontext segment is the product of tens of thousands of human annotations and is only released when its classification performance metrics reach academic peer-review standards. The result is article-level news intelligence with accuracy, precision and recall unmatched by current sentiment and entity recognition approaches. Our AI is ethically reviewed by outside academics. We take transparency seriously and allow advertisers to see “under the hood” to understand exactly what is inside each segment we build. Want to learn more? Email us at mail@socialcontext.ai.

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