Module VIII·Article III·~1 min read
Digital Logic and Critical Thinking in the Information Society
Logic in AI, Algorithms, and Digital Thinking
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Information Overload and Logical Errors
The digital environment creates unprecedented conditions for logical errors. Speed: decisions are made within seconds. Volume: thousands of units of information per day. Algorithms: recommendations are optimized for engagement, not for truth.
Trendy "format" is not the same as a "logically convincing format". A TikTok video persuading about a conspiracy theory can be rhetorically more powerful than an academic article refuting it. This creates "logical arbitrage": manipulations are cheaper to produce than to refute.
Infodemic (WHO, term from 2020): the excess of information about the pandemic, including false information, making it harder to make the right decisions. The logic "if it sounds plausible—maybe it's true" is especially dangerous in crisis situations.
Critical Thinking as Practice
"Reflective skepticism" (as opposed to "skepticism for skepticism's sake"): evaluation of claims based on method, quality of evidence, possible alternative explanations. This is not denial—it is a standard.
Checklist for encountering a new claim. Source: who is making this claim and why? Evidence: what are they referencing? Logic: does B follow from A? Maybe C follows from A as well? Interest: who benefits if I accept this claim? Base rate: how plausible is it a priori?
Project "Sceptical Science": a database of scientific refutations of climate myths. This is systematic work on applying critical thinking in the informational environment.
Media literacy—the application of logical and critical thinking to the media environment: determining the purpose of communication, analyzing arguments, checking sources, recognizing rhetorical techniques and cognitive traps.
Question for reflection: What specific critical thinking practices do you use daily when working with information? How do you verify claims that seem convincing but important?
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