Infodemic is a neural network-generated video that questions the mediated narratives created by social media influencers and celebrities about the coronavirus. 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.
The creation of a deepfake video typically involves training an algorithm on hundreds or thousands of images of a single person to reproduce a convincing likeness of that person doing or saying things they did not say or do. The resulting video is then touched up in post production to increase its believability. In contrast, we trained our algorithms on a corpora of multiple individuals and performed no post-production touching up of the generated footage. The result is a talking head that morphs between and combines the faces of different celebrities and influencers, invoking the plastic, evolving, and unstable nature of information during the COVID-19 pandemic.