Damien Van Achter
Identifying Political Deepfakes in Social Media Using AI
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2024 US Presidential Election
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Our cause
The cost of creating and distributing deepfakes has plunged sharply during one of the most important political elections in history.
AI-based forgery will grow explosively due to the increased availability of generative AI and associated tools that facilitate manipulating and forging video, audio, images, and text.
Read about it in The New York Times
The Problem
The Team
James Allard
Operations
Kathy Thrailkill
Operations
Michael Bayne
Engineering
Aerin Kim
Engineering
Steve Geluso
Engineering
Molly Norris Walker
Product + Design
Arthur Min
Partnerships
Oren Zamir
Research
Garrett Camp
Advisor
Vitor Lourenco
Advisor
Non-profit, non-partisan, free.
Found any political deepfake content?
Submit political deepfake examples
The Scientific Advisory Board
Renee DiResta
Research Manager, Stanford Internet Observatory at Stanford University
Darrell M. West
Senior Fellow, Center for Technology Innovation, Douglas Dillon Chair in Governmental Studies
Kate Starbird
University of Washington Professor and Co-Founder of the Center for an Informed Public
Jevin West
University of Washington Associate Professor and Director of the Center for an Informed Public
Siwei Lyu
SUNY at Buffalo Professor, Director Media Forensic Lab, Center for Information Integrity
Wael AbdAlmageed
Clemson University Professor, Founding Director USC Visual Intelligence and Multimedia Analytics Lab
Our Partners
Generative AI Security against Deepfakes
Proactive Deepfake Detection Platform
News
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