It’s the Paradox of Choice: there’s more children’s media than ever, but kids struggle to find new content or choose among media that often follow generic formulas. More control and choice doesn’t increase satisfaction. Children’s media leaders weigh in on tough questions: how do kids search for new favorites in a crowded market? When TV and movies look so alike, are we serving diverse kids’ needs? How can we make content that resonates with today’s kids? And, how can we help kids discover them? Machine learning can rapidly measure, compare and contrast 100,000+ movie and TV script features. AI provides fascinating insights that can help us understand trends in attitude, characterization and representation in children’s programming, and how these traits can make content more discoverable.
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