Saturday, May 10, 2014

How BuzzFeed is leveraging Big Data to target its readers in real time

Ky Harlin, Director of Data Research and Development at BuzzFeed, New York, focuses his work on identifying, organizing and accelerating the audience for viral content on Buzzfeed.com

In his presentation to the Big Data for Media conference on May 8 in London, sponsored by World Newsmedia Network and Reuters Institute for the Study of Journalism, Harlin said his department measures the "social reproduction rate" of media and is a measurement metric that exists in real-time on a variety of content, from news to animal videos to food recipes and preparation.

Harlin mentioned the case of an article: "60 Thanksgiving Side Dishes To Make Absolutely Everyone Happy" (http://www.buzzfeed.com/rachelysanders/60-thanksgiving-side-dishes-to-make-absolutely-eve). "We publish pinnable holiday content a couple of weeks in advance. Then, promote on Facebook closer to the actual day," Harlin said.

Key takeaways of Harlin's presentation were:
- Data can be used to optimize content for sharing throughout the life of an article.
- Before publishing, data can help determine what to write about and how to present it.
- After publishing, data can help optimize the article's promotion as well as the article itself.


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