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Can Data Science Help Us Combat Disinformation?

New Books in Communications

English - June 05, 2023 18:40 - 43 minutes - ★★★★★ - 5 ratings
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Previous Episode: Ian M. Cook, "Scholarly Podcasting: Why, What, How" (Routledge, 2022)
Next Episode: Robin James, "The Future of Rock and Roll: 97X WOXY and the Fight for True Independence" (UNC Press, 2023)

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.
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.
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. 
Learn more about your ad choices. Visit megaphone.fm/adchoices
Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

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.

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.

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. 

Learn more about your ad choices. Visit megaphone.fm/adchoices

Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/communications

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