Institute for Social Vision Design

Information Literacy

10 items

Insights & Analysis

The Pitfalls of 'I Asked AI' — Authority Bias and the Hollowing Out of Knowledge

Authority bias in accepting AI output uncritically and knowledge hollowing from skill delegation. From calculators to GPS to LLMs—a recurring pattern.

Labs

Motivated Ignorance — The Cognitive Structure of 'Not Wanting to Know'

Analyzing the mechanism by which individuals voluntarily choose to 'remain ignorant' rather than being forced into ignorance from external sources, from a cognitive science perspective. Examining how the 'illusion of knowledge' demonstrated by Sloman & Fernbach's 'The Knowledge Illusion' and motivated reasoning form the individual-level foundation of structural ignorance.

Labs

Literature Map of Agnotology in the Japanese-speaking World 2022–2026 — Tracing the Birth of a Discipline

From the 2022 special issue of Journal of History of Science (Vol. 61) to the 2025 publication of 'Invitation to Agnotology,' this article organizes the development of agnotology research in the Japanese-speaking world as a literature map. We track researcher networks, major publications, and academic presentations chronologically to visualize the current state of this emerging academic field.

Labs

The New Ignorance Produced by Algorithms — Filter Bubbles and Echo Chambers

Recommendation algorithms, search engine optimization, and social media feed design automatically determine what users do not see. This structural ignorance, which arises not from intentional design but as a consequence of optimization, is analyzed as a compound mechanism of attention control and complexity weaponization.

Labs

What Is Not Reported — Media Agenda-Setting and Invisibilization

Media exercise a dual power: deciding 'what to report' and 'what not to report.' This selection constitutes the cognitive framework for perceiving social reality and produces structural invisibilization. The press club system, sponsor pressure, and audience metrics function as attention-control mechanisms in Japan's media environment.

Labs

The Doubt Manufacturing Industry — The Sixty-Year War of Tobacco and Climate

This case study analyzes sixty years of history in which the tobacco and fossil fuel industries systematically 'manufactured doubt' against scientific consensus. From the fact that the same group of scientists and the same strategic patterns were repeatedly employed, 'doubt manufacturing' is theorized as a foundational mechanism of ignorance production.

Labs

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.

Labs

Epistemic Injustice and Information Access Gaps in NPOs — Visualizing Structures Where Voices Go Unheard

Applying Miranda Fricker's epistemic injustice theory to the NPO context, this analysis examines how testimonial injustice and hermeneutical injustice create structural information access gaps in policymaking. Through connections with the 'complaint gap' concept from the Quiet City Project, we envision counter-design approaches grounded in agnotology.

Labs

The Inhibitory Effect of Strategic Ignorance in EBPM — How 'Pretending Not to Know' Distorts Policy

Applying Linsey McGoey's strategic ignorance theory to Japan's EBPM promotion, this analysis examines the structural mechanisms by which evidence is not reflected in policy despite its existence. It reveals the structure of intentional ignorance behind rhetoric such as 'insufficient data' and 'still too early.'

Labs

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.