1Avoiding Online Scams: 5 Common Mistakes and the Right Reflexes
The 5 most common mistakes people make with online scams, and the concrete reflexes to protect your accounts and data — starting today.
Read the lesson →Three tracks to master your digital life — security, social media, artificial intelligence — plus language courses. Every lesson comes with a printable cheat sheet, everything is free with no sign-up.
1The 5 most common mistakes people make with online scams, and the concrete reflexes to protect your accounts and data — starting today.
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2The 5 most reliable signs of a phishing email, how ransomware reaches your device, and the 60-second rule so you never reply under pressure again.
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3Public Wi-Fi, app permissions, Google/Facebook logins, exposure audit: five concrete habits to reduce what others can learn about you online.
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4Check whether your data has leaked, recognize a compromised account, take back control in the right order, and back up what cannot be lost.
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1Verify before sharing, don't feed harassment, write with impact in mind: five concrete practices for a safer, more thoughtful use of social media.
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2Settings configured side by side, warning signs of unknown contacts, the golden rule of “react without punishing“: five concrete practices to support a young person online without surveilling them.
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3Private accounts, Snap Map, notifications, screen time, family tools: the 5 concrete worksites so a young person uses TikTok and Snapchat on their terms — not the platforms'.
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4The signs a young person is being bullied online, the order of reaction that protects without punishing, the remedies that make it stop — and what to do if your child is the one bullying.
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5Why the half hour becomes three hours, and how to take back control: measure, cut the triggers, replace, reduce in stages — because it's not a test of willpower, it's a match of environments.
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1How AI assistants work, what they do well and badly, hallucinations, confidentiality, and a simple method to use them intelligently starting today.
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2How a model learns, why it “forgets“, where its biases come from, why two answers differ: five plain-language notions that explain the behaviors you observe — and how to turn them to your advantage.
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3Cloned voices, fake videos, fabricated images: why visual inspection no longer protects you, and the context-based reflexes that do — call-back, family code word, source verification.
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4Bias at scale, surveillance, transformed work, polluted information, delegated judgment: AI's five structural risks, the debates laid out honestly — and the concrete rights the GDPR and the AI Act already give you.
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