Post-Truth
3 items
From 'Merchants of Doubt' to 'Captors of Regulation' — Reading Big AI's Regulatory Capture through 27 Mechanisms
Birhane et al. (2026, FAccT'26) present a taxonomy of 5 categories and 27 mechanisms of Big AI's regulatory capture. This synthesis integrates that taxonomy into ISVD Agnotology Lab's 7-axis coding framework, tracing how the doubt-manufacturing tactics perfected by tobacco, oil, and pharmaceutical industries have transferred to the AI sector. Drawing on empirical data of 100 articles, 249 cases, and 11 dominant narratives, the article reads the contemporary form of the infrastructure of ignorance production.
AI Amplification of the Brandolini Asymmetry — When the Cost of Producing Lies Approaches Zero
The proliferation of AI-generated content has amplified the asymmetry between the production cost of misinformation and the cost of correction (Brandolini's Law) by orders of magnitude. Employing RAND Corporation's 'Firehose of Falsehood' model, this essay analyzes the consequences of this structural transformation.
Research Framework of the Agnotology Lab — An Inductive Coding Framework
From the perspective of agnotology, this note presents an inductive coding framework for multidimensional analysis of the 'production of ignorance.' Moving beyond conventional domain-based classification, a seven-axis tagging system structures research notes and allows cross-disciplinary patterns to emerge from the data.