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King's Institute researchers study internet memes to measure human and AI creativity
King's College researchers are analyzing thousands of memes to measure human and AI creativity. The study builds metrics to track how algorithms distribute viral content.
Researchers at King's College London and IMT Lucca are analyzing thousands of internet memes to measure how humans and artificial intelligence generate creative content. The project seeks to build computational metrics for this process. By tracking how algorithms distribute viral material, the team is creating a new framework for understanding synthetic imagination.
Measuring synthetic imagination
Professors Lorenzo Zucca and Luca Viganò designed the study to examine how creativity functions in both human and synthetic minds. They are analyzing the Kaggle meme dataset. This collection of internet content combines images and text, serving as a practical test case for generating novel ideas from imperfect information.
The team will evaluate these memes through philosophical, neurological, and computational lenses. This research directly informs the development of Generative Art models. It helps scientists train AI to understand creativity the way humans do.
Algorithms and viral distribution
Beyond creation, the project investigates why certain memes go viral. Humans create the content, but algorithms curate its distribution based on user preferences. The researchers will study this interaction to see how systems recognize and spread creative work.
Understanding this mechanism highlights the risks of automated distribution. The team will examine how creative expression can be misused for propaganda. Professor Gabriele Costa from IMT Lucca is contributing his expertise in AI and cybersecurity to this effort.
Neurological foundations of humor
The research extends into the physical brain to map the neurological basis of humor. Scientists from the Institute of Psychiatry, Psychology, and Neuroscience are developing a neuroimaging protocol. They will track which brain areas activate when individuals view memes.
Professor Federico Turkheimer, Director of the King's Institute for Human and Synthetic Minds, highlighted the value of this cross-disciplinary approach. "By combining AI, language, and imaging, we're trying to better understand human intelligence and creativity," Turkheimer said. "What I witnessed was how these ideas come to life after gathering experts from different disciplines into one room to have a conversation and explore their curiosities."
Why this matters for creatives
Professionals exploring AI for Creatives need to understand how machines evaluate and distribute original work. This study provides a concrete look at the metrics algorithms use to define and promote creative content. Knowing how synthetic systems measure novelty allows professionals to adapt their workflows and protect their intellectual property.