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Ben Kaiser and Jonathan Mayer on Fighting Misinformation Online

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Manage episode 299563756 series 56794
Inhoud geleverd door The Lawfare Institute. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door The Lawfare Institute of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

The spread of misinformation is one of the biggest challenges facing social media platforms. A standard approach is to label suspicious posts or links so as to warn users that what they're engaging with is not reputable, but warnings, despite their wide use, haven't proven to be particularly successful. So what's a social media platform to do?

Two Princeton University computer scientists, Ben Kaiser, a PhD student, and Professor Jonathan Mayer, think they've found a better way. Instead of warning users about misinformation, they propose putting roadblocks between users and the misinformation they're tempted to click on. Alan Rozenshtein spoke with Ben and Jonathan about their research and about a piece they and Dr. J. Nathan Matias wrote recently for Lawfare entitled, "Warnings that Work: Combating Misinformation Without Deplatforming."

Support this show http://supporter.acast.com/lawfare.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

2070 afleveringen

Artwork
iconDelen
 
Manage episode 299563756 series 56794
Inhoud geleverd door The Lawfare Institute. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door The Lawfare Institute of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

The spread of misinformation is one of the biggest challenges facing social media platforms. A standard approach is to label suspicious posts or links so as to warn users that what they're engaging with is not reputable, but warnings, despite their wide use, haven't proven to be particularly successful. So what's a social media platform to do?

Two Princeton University computer scientists, Ben Kaiser, a PhD student, and Professor Jonathan Mayer, think they've found a better way. Instead of warning users about misinformation, they propose putting roadblocks between users and the misinformation they're tempted to click on. Alan Rozenshtein spoke with Ben and Jonathan about their research and about a piece they and Dr. J. Nathan Matias wrote recently for Lawfare entitled, "Warnings that Work: Combating Misinformation Without Deplatforming."

Support this show http://supporter.acast.com/lawfare.



Hosted on Acast. See acast.com/privacy for more information.

  continue reading

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