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Tuesday, April 21 • 4:15pm - 4:30pm
Open Source Knowledge Graph of News

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Journalism is in crisis. Newspaper revenues have been falling while fake news is on the rise. To alleviate these problems, we propose a knowledge graph of entities and relationships from publicly available news sources, using an open dataset of over 23,000 Vox articles as a proof-of-concept. We believe that this work will significantly enable both journalists and consumers of news to keep track of large volumes of information in a non-siloed manner. News organizations will have access to a comprehensive content catalog that allows for collaboration between and within other organizations, as well as producing investigative journalism pieces at a lower cost. The public will benefit from having a platform that is widely available, easily searchable, comprehensive over time and space, and curated by trustworthy sources. Because we also believe that our initiative is of great benefit to the public, we are both open sourcing our efforts and actively encouraging others to collaborate with us and each other to bring this project forward.




Speakers
avatar for Hanhan J. Li

Hanhan J. Li

I’m Hanhan, the co-founder of PressDB, an exploratory writing engine that empowers people to research and write better and faster. I graduated with a dual masters’ degree in Journalism and Statistics from Columbia University in 2018.I have been fascinated about the graph world... Read More →
CR

Chris Rusnak

Chris Rusnak has 8 years of work experience as a data scientist in information services and consulting industries. He has obtained a M.S. degree in Data Science from the Data Science Institute at Columbia University in 2017 and a B.A. degree in Math and Biological Sciences as sum... Read More →


Tuesday April 21, 2020 4:15pm - 4:30pm
Room 6