Political Deepfakes Incident Database (PDID)

This database includes deepfake images and videos about political actors, institutions, or events. We are compiling information about the political deepfakes such as whether the images/videos are presented as real/fake, whether there is external verification, who the targets are, what potential harms are depicted, any real-world evidence of harms, how they are spread on social media, and what framing/narratives they evoke.

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Executive Summary

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An effort to consider the arena of politics and identify the probable and possible practicality of politics as we know it.

The idea here is to determine what is at play in the mash between politics and Artificial Intelligence.

Incorporating Artificial Intelligence into politics is an important task that requires consideration of every type of information regarding politics.

The idea is to provide a public resource to researchers, journalists, and the public, and to assist in identifying the impact of policy solutions rolled out to address deepfakes (such as labeling, watermarking, etc.).

Novel resource of deepfakes (video and image) related to political actors, institutions, and events.

Insists on entertaining political deepfakes to contain them as well as possible utilizing Artificial Intelligence.

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Team Members

Faculty: Daniel Schiff, Kaylyn Jackson Schiff, JP Messina, Natalia Bueno

Graduate researchers: Christina Walker, Narek Abelian, Jiashu Hu, Anjali Bhati

Undergraduate researchers: ‍

  • Lydia Ann Windell
  • Chloe Tremblay
  • Shria Kapisthalam
  • Lillian Ashley Fix
  • Madison Rae Phillips
  • Stuthi Sai Sunil
  • Alaina Hall
  • Aadya Pawar
  • Tavneet Gadhoke
  • Donovan Luo
  • Anshika Saxena
  • David Griffin
  • Sowmya Nitayakalyanam  
  • Jaren Michael Peters
  • Rayed Rahman
  • Bernadette M Slattery
  • Donovan Luo
  • Ayusha Patra
  • Katherine Connel

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Themes

Misinformation, Deepfakes, and Political Communication

Methodological Areas

Survey experiments (including conjoint experiments)

Relevant Stakeholders

General Public

Substantive Areas

Public and Elite Opinion
AI Ethics
AI Governance and Policy
Political Communication and Media
Misinformation and Disinformation

Research Papers Related to the Project

https://ojs.aaai.org/index.php/AAAI/article/view/30349

For Prospective Team Members

This project is ideal for students interested in misinformation, media manipulation, and the societal risks of AI-generated content. It is especially suitable for students who are comfortable engaging with social media platforms, analyzing digital media content, and contributing to public debates on emerging threats.

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Additional Information