A Data-driven Look at the Real-time Web Ecosystem
A vibrant ecosystem has grown up around streaming content. What does this content look like? Do people consume it differently? How does it spread? How is it being exploited? We’ve taken a deep look at the mechanisms of content sharing through the facets of social streams and the ways that content and behavior are evolving in this new environment.
Video
Presentation
Hilary Mason
bitly
Hilary Mason is the Chief Scientist at bit.ly, where she finds sense in vast data sets. Her work involves both pure research and development of product-focused features.
She’s also a co-founder of HackNY, a non-profit organization that connects talented student hackers from around the world with startups in NYC.
Hilary recently started the data science blog Dataists and is a member of hacker collective NYC Resistor.
She has discovered two new species, loves to bake cookies, and asks way too many questions.
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Comments
Good presentation. Very clear. Valuable insight information.
Love the potential of using bit.ly as a data platform. PLeeeze build APIs which we can leverage to mine your data.