Data Set Clickbait

Published on April 6th, 2017 | by Joshua New

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Fighting Clickbait on Social Media

The Bauhaus-Universität Weimar in Germany and Google’s Germany campus are hosting the Clickbait Challenge to encourage the development of algorithms that can predict how likely a post on social media is clickbait. The Clickbait Challenge will make three datasets available to participants—a training dataset of labeled examples of clickbait, a dataset of 15,000 unlabeled posts for testing, and an additional 15,000 post dataset for validation. The challenge has already made the training dataset available, and it will publish the remaining two over the next several weeks.

Get the data.

Image: Maialisa

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About the Author

Joshua New is a policy analyst at the Center for Data Innovation. He has a background in government affairs, policy, and communication. Prior to joining the Center for Data Innovation, Joshua graduated from American University with degrees in C.L.E.G. (Communication, Legal Institutions, Economics, and Government) and Public Communication. His research focuses on methods of promoting innovative and emerging technologies as a means of improving the economy and quality of life. Follow Joshua on Twitter @Josh_A_New.



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