Disinformation and data science - syndicated from MIT Press journal Harvard Data Science Review

Can data science help us combat disinformation?

 

This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.

 

In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng discuss fake news, disinformation, and misinformation with Scott Tranter, CEO and founder of Optimus Analytics, and Hany Farid, a professor from UC Berkeley who specializes in the analysis of digital images and is the author of two MIT Press books: Fake Photos and Photo Forensics.

 

If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform.

 

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