Big Data to ID Texts from Teens in Crisis

Our team member Tasha Bergson-Michelson sent a link to this TED talk by Do Something CEO Nancy Lublin, pointing it out as a powerful example of harnessing large data sets (aka “Big Data”) to auto-analyze texts sent from teens who may be in crisis and, if needed, to prioritize those texts in the response queue.

What do you think of this as an example for teens of Big Data for good?

You can also view visualizations of the accumulated dataset here (21 million texts and counting) and via the interactive screenshot below.

Crisis Trends – Crisis Text Line via kwout

Is this a resource you would use with students? How?


About Kristin Fontichiaro

Kristin Fontichiaro is the principal investigator of this IMLS-funded project and a clinical associate professor at the University of Michigan School of Information.