It’s the Paradox of Choice: there are more children’s TV programs than ever, but kids struggle to find new content or to choose among shows 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 shows look so alike, are we serving diverse kids’ needs? How can we make shows that resonate 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 shows more discoverable.
Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.