Published December 10, 2020


Infodemic Poster.

"INFODEMIC" created by Derek Curry and Jennifer Gradecki

Join "DEEP FAKE" curator Isabel Beavers in a discussion with Derek Curry and Jennifer Gradecki, the artists who created Infodemic.

Tue, December 15, 2020

12:00 PM – 1:00 PM EST


Infodemic is a neural network-generated video that questions the mediated narratives created by social media influencers and celebrities about the coronavirus. The term ‘infodemic’ can be traced back to the SARS outbreak in 2003, but gained popularity in February of 2020 when the WHO Director, General Tedros Adhanom Ghebreyesus stated: “we’re not just fighting an epidemic; we’re fighting an infodemic. Fake news spreads faster and more easily than this virus, and is just as dangerous.” The speakers featured in the video are an amalgam of celebrities, influencers, politicians, and tech moguls that have contributed to the spread misinformation about the coronavirus by either repeating false narratives, or developing technologies that amplify untrue content. The talking heads are generated using a conditional generative adversarial network (cGAN), which is used in some deepfake technologies. Unlike deepfake videos where a neural network is trained on images of a single person to produce a convincing likeness of that person saying things they did not say, we trained our algorithms on a corpora of multiple individuals simultaneously. The result is a talking head that morphs between different speakers or becomes a glitchy Frankensteinian hybrid of different people that contributed to the current infodemic speaking the words of academics, medical experts, or journalists that are correcting false narratives or explaining how misinformation is created and spread. The plastic, evolving, and unstable speakers in the video evoke the mutation of the coronavirus, the instability of truth, and the limits of knowledge.

About the Artists

Derek Curry

Derek Curry  (PhD Media Study, UB, 2018) is an artist-researcher whose work addresses spaces for intervention in automated decision-making systems. His work has addressed automated decision-making processes used by automated stock trading and Open Source Intelligence gathering.

Jennifer Gradecki

Jennifer Gradecki  (PhD Visual Studies, UB 2019) is an artist-theorist who facilitates a practice-based understanding of socio-technical systems that evade public scrutiny. Her investigations have focused on social science techniques, financial instruments, mass surveillance, and artificial intelligence.

Curry and Gradecki have participated in numerous international exhibitions, including Ars Electronica (Linz), ADAF (Athens), and NeMe (Cypress). Their work has been commissioned by Science Gallery Dublin and NEoN Festival.