SHERMER, M.: Patternicity: Finding Meaningful Patterns in Meaningless Noise. Released on 1st December 2008. [online]. [2022-05-23]. Available at: <https://www.scientificamerican.com/article/patternicity-finding-meaningful-patterns/>.
SCHEC…[^20]: KNIGHT, P.: Conspiracy Culture: From Kennedy to the X-Files. New York, NY : Routledge, 2000, p. 204.
[^21]: ÖRNEBRING, H.: Alternate Reality Gaming and Convergence Culture: The Case of Alias. In International Journal of Cultural Stu…
Michael Shermer
scientist · 3 mentions across 2 readings
In this course
Shermer is a science communicator best known for his concept of "patternicity"—the human tendency to find meaningful connections in random data—which the course draws on to theorize how AI systems and humans alike construct false coherence from noise. His work appears here to ground discussions of how both algorithmic pattern-recognition and human cognition can generate spurious meaning-making, a critical concern when examining the feedback loops between machine learning and cultural belief systems.
Mentioned in 2 readings
Appears alongside
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