Demystifying Election Security Misinformation with Katie Harbath [S4E32]

Welcome back to the “Tech Policy Grind” podcast by the Internet Law & Policy Foundry! In this episode, Senior Fellow Lama Mohammed interviews Katie Harbath, CEO and Founder of Anchor Change on election security misinformation. With 2024 setting out to be “tsunami” year of elections, Lama and Katie dive deep into definitions, misinformation around election infrastructure. Then, they get into the role of AI in disinformation, rebuilding trust between public users, technologists, government, and the media, and more. Anchor Change is a consulting organization developing solutions at the intersection of tech, policy, and business. They focus on global issues related to democracy, elections, and civic engagement online. You also can connect with Katie on LinkedIn and Twitter , or by subscribing to her newsletter “ Anchor Change with Katie Harbath .” Thanks for listening, and stay tuned for our next episode! Resources Referenced and Further Readings Aids: “ Mis-, Dis-, and Malinformation Planning and Incident Response Guide for Election Officials ” by the United States Cybersecurity and Infrastructure Security Agency (CISA) “ People Are Disinformation’s Biggest Problem, Not AI, Experts Say ” by Nate Lanxon and Jackie Davalos for Bloomberg “ Hivemind: The New Science of Tribalism in Our Divided World ” by Sarah Rose Cavanagh, Ph.D Trends in Gen Z News Consumption in Morning Consult Editors’ Note: Gaza Hospital Coverage in The New York Times “ Impossible Tradeoffs with Katie Harbath ” podcast Integrity Institute United States Polling Place Locator DISCLAIMER: Lama engaged with this episode by the Internet Law & Policy Foundry voluntarily and in her personal capacity. The views and opinions expressed on this show do not reflect the organizations and institutions Lama is affiliated with.

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Demystifying Election Security Misinformation with Katie Harbath [S4E32] is an episode from Tech Policy Grind by The Internet Law & Policy Foundry.

This episode is 34:31 long.

This episode was published on Nov 2, 2023.

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