Evidence-first media literacy.

Clarimedia designs practical training that helps people read, verify, and communicate information without panic, cynicism, or guesswork. Our promise is simple: teach methods you can reuse tomorrow—grounded in open reasoning, clear definitions, and honest uncertainty.

Make claims falsifiable
Separate facts, inference, values
Prefer primary sources
Document trade-offs
Minimalist workshop scene with learners analyzing sources on a table with laptops and notebooks in a modern office

Method cards, not slogans

We break skills into reusable checklists: claim mapping, source grading, narrative analysis, and bias controls.

Fast practice loops

Short drills with immediate feedback—so learners internalize steps, not just vocabulary.

Confidence with calibration

We teach when to say “I don’t know yet” and how to move from uncertainty to clarity responsibly.

Clean poster-like infographic of a fact checking pipeline with icons for sources, claims, evidence, and reasoning

Principles

Next review in 00:00:00

A small set of guardrails we apply to every course module, worksheet, and scenario.

  • Evidence has a pedigree. We track where information originates, how it moved, and what changed.
  • Reasoning is inspectable. If a conclusion cannot be re-derived from stated premises, it’s not ready.
  • Fair summaries. We steelman before we critique—because accuracy beats dunking.
  • Small, testable steps. We prefer changes that can be measured in behavior, not just sentiment.

Values

Non-partisan by design

Values aren’t a marketing deck. They’re constraints we accept even when it costs time.

  • Clarity over cleverness. Tools should work under stress and time pressure.
  • People before platforms. We teach how systems shape attention, not which app is “bad”.
  • Privacy-respecting defaults. We use minimal analytics and provide control.
  • Continuous correction. When we learn better, we update materials and log what changed.

Timeline

A small history of how the program evolved—from “tips” to a repeatable method.

Pilot: claim mapping

We built short worksheets that force a claim into components: who says what, with what evidence, and what would change our mind.

Source grading rubric

Instead of “trust/don’t trust”, we evaluate track record, transparency, incentives, and error correction.

Scenario library

We added realistic cases: screenshots, truncated quotes, misleading charts, and ambiguous reporting—because that’s what people face.

Transparency ledger

We implemented a minimal “change log” with timestamps, reasons, and confidence notes. It keeps our materials honest.

How we teach

4 layers
Layer 1: Vocabulary
Define terms (claim, evidence, uncertainty, base rate) before we debate.
8–12 min
Layer 2: Method
Step-by-step routines that work even when you’re tired.
15–20 min
Layer 3: Drills
Practice loops with feedback, progressively harder inputs.
20–35 min
Layer 4: Transfer
Apply in your domain: news, workplace chat, classroom, or family discussions.
15–25 min

Mini assessment (self-check)

If you read a claim and can’t list: (1) what would refute it, (2) the best alternative explanation, and (3) the primary source path—then you haven’t “verified” it yet.

Last materials refresh
We batch improvements weekly unless an error is critical.
00d 00h 00m

What we won’t do

Boundaries protect trust. We avoid these patterns even if they “convert” better.

No “secret hacks” framing

We teach boring but reliable steps: documentation, verification, and reasoning checks.

No false balance

Not every claim deserves equal weight. We teach proportionality and base rates.

No data hoarding

We keep opt-in contact only, with consent logs and simple delete requests.

Request a syllabus

We reply within 12h 00m. If it takes longer, we’ll include a bonus worksheet pack.

Transparency ledger (minimal)

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