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Media Literacy Courses

Online courses • practical workflows • evidence-first

Master Media Literacy

Learn to verify sources, analyze claims, protect your privacy, and understand how algorithms shape attention. Minimalist, rigorous, and actionable—built for everyday decisions and professional work.

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45–60
min per lesson
Hands-on
real-world tasks
Clear
rubrics & checks
Updated
bias & AI changes

Today’s focus

A lightweight plan you can start immediately.

Minimalist • Light
  • 1

    Verify before you share

    Check source, author context, and evidence trail in under 3 minutes.

  • 2

    Read claims, not vibes

    Separate statements from interpretations, and spot missing baselines.

  • 3

    Privacy by default

    Reduce data traces with safe settings and simple threat modeling.

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Core skills you’ll build

  • Source verification domain, authorship, provenance
  • Claim analysis what’s asserted vs implied
  • Data reasoning baselines, uncertainty, charts
  • AI awareness bias, hallucinations, limits
  • Fact-Checking

    Source verification workflows, claim investigation, and how to document findings clearly.

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  • AI Literacy

    Understand generative AI, biases, prompt pitfalls, and why “detection” is not a guarantee.

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  • Privacy & Security

    Reduce data traces, configure safer defaults, and map realistic risks for your situation.

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Why choose us

We teach media literacy as a set of repeatable habits: verify, contextualize, and communicate uncertainty. You’ll practice on realistic examples with structured feedback.

A simple promise

Every lesson includes: a checklist, a short drill, and a way to self-audit your reasoning without relying on “gut feeling.”

  • Practical tasks Each module ends with an applied exercise and a grading rubric you can reuse.
  • Accessible design High contrast, keyboard-friendly controls, clear labels and focus states.
  • Verified content Continuously updated with transparent references and scope limits.
  • Algorithm literacy Learn how ranking systems shape attention—and what to do about it.
  • AI-ready thinking Use AI tools responsibly while protecting standards and privacy.
  • Time-efficient Short lessons, clear outcomes, and templates that reduce decision fatigue.

Quick access

Jump straight to the sections most learners use: filters, common questions, and a direct contact form. Favorites are stored locally on your device.

What media literacy covers (in plain terms)

  • Verification Confirm whether a claim is supported, how strong the evidence is, and what’s missing.
  • Context Recognize framing, incentives, and how storytelling choices influence interpretation.
  • Data sense Avoid common pitfalls: cherry-picking, bad comparisons, and misleading visuals.
  • Digital safety Make privacy decisions intentionally—what to share, where, and with whom.

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Support

For enrollment questions, accessibility needs, or team training requests.

  • Email: [email protected]
  • Phone: +1 (415) 726-9034
  • Hours: Mon–Fri, 09:00–17:00 (local)

Find your learning path

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Syllabus preview

A sample structure used across courses (varies per track).

  • Module 1: Verification basics

    Provenance, source types, and fast checks.

  • Module 2: Claims & framing

    Find the claim, isolate assumptions, detect framing.

  • Module 3: Data & visuals

    Baselines, uncertainty, and chart reading.

  • Module 4: AI literacy

    Hallucinations, bias, and safe use patterns.

Sample rubric (excerpt)

How you self-audit a claim investigation.

  • 1) Claim clarity

    Can you restate the claim precisely, including scope (who/what/where/when)?

  • 2) Evidence chain

    Did you trace evidence to an original source (not a repost or screenshot)?

  • 3) Alternative explanations

    Did you test at least one plausible alternative interpretation?

  • 4) Uncertainty & limits

    Did you communicate what you can’t conclude and why?

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