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Information Literacy: Finding and Judging What You Read
Information literacy is the habit of finding, judging and using information well. This overview sets out its core steps and how to build them into everyday study.
Study and Digital Skills
Information Literacy
Judging claims, sources and evidence.
Cognitive Biases That Affect Learning
Confirmation bias, anchoring and other mental shortcuts can quietly shape what we learn and believe. Here is how they work and how to notice them.
Common Logical Fallacies
Logical fallacies are flawed arguments that can sound convincing. Learn the common ones, with neutral everyday examples, and how to respond calmly.
Correlation Is Not Causation
Two things moving together does not mean one causes the other. Simple examples show confounders, reverse causation and coincidence, and how evidence can tell them apart.
How to Spot Misinformation
Missing sources, emotional framing, recycled images and other warning signs can suggest a claim is unreliable. A calm checklist for slowing down before you share.
Lateral Reading: Checking a Source by Leaving It
Lateral reading means opening new tabs to see what others say about a website before trusting it. Learn the steps and why it often beats reading the page itself.
Misleading Charts and How to Read Them
Truncated axes, cherry-picked date ranges and other chart tricks can change what data seems to say. Learn what to check before you trust a graph.
Reading a Research Paper as a Non-Specialist
A section-by-section order for reading a research paper when you are not an expert: get the main message first, then decide how much detail you need.
Reverse Image Search for Fact-Checking
Reverse image search can show where a picture first appeared and whether it has been reused or altered. Learn the general steps, strengths and limits.
Using Wikipedia as a Starting Point for Research
Wikipedia can help you get oriented, but citing it is rarely the goal. Learn to use its references, talk pages and edit history, then cite original sources.
Verifying Answers from AI Chatbots
Chatbots can sound confident while being wrong. Practical cross-checking steps help you test names, numbers, quotes and citations before you rely on an answer.
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