The Life Starter
0 of 6 complete0%
Course Library · Lesson 4 of 6
Life · Guided lesson

Verify a voice or video request

About 19 minutes · 5 reading + 14 practice and checks
Time includes reading, practice, and questions. Extra videos or further study are optional.
See this course’s project requirements

A media-verification packet with a claim map, provenance trail, cue log, independent-channel check, claim-specific verdicts, and a share-or-hold note.

Keep your working files in your own notebook or software. Save a private description, checklist, and work link in My Proof.

What to include

  • Extract the event, place, time, and consequence claims.
  • Trace the fictional media history and separate reposts from independent sources.
  • Record cues with alternative explanations and detector limits.
  • Verify the request through a separately established channel.
  • Write claim-specific verdicts and a private sharing decision.

Review and revise

Use these criteria to check your work and choose what to improve.

  • Observations remain separate from inferred causes.
  • Source history and independent evidence are accurately traced.
  • Verdicts distinguish contradicted claims from unknown production methods.
  • The final action avoids unsupported claims and unnecessary amplification.
Open the full course project
Want more background?
Before you begin

The idea in everyday life

Fictional voice message claims to be a club organizer: “The workshop moved. Send your member list to this new link now.” The club’s previously saved official page lists its organizer contact and says no member list is requested. A supplied independent reply from that saved contact says the message is unauthorized. No real messages or links are used.

The idea

A familiar face or voice does not authenticate a request.

Follow along

Verify a voice or video request: guided practice

A familiar face or voice does not authenticate a request.

Use paper or a free local text editor. This is an original fictional practice case; do not submit its records to a real service. Start this lesson with these facts, even if an earlier variation changed them. Fictional voice message claims to be a club organizer: “The workshop moved. Send your member list to this new link now.” The club’s previously saved official page lists its organizer contact and says no member list is requested. A supplied independent reply from that saved contact says the message is unauthorized. No real messages or links are used.

  1. 1. Separate identity from request

    Record who the message claims to be and what action it asks.

    You should see: Claimed organizer; urgent member-list upload to a new link.

    Identity and action both require verification.

  2. 2. Choose a known channel

    Use the previously saved contact, not details included in the suspicious message.

    You should see: Verification route: the saved official organizer contact.

    An attacker can control contact details inside the message.

  3. 3. Apply the independent reply

    Record the supplied organizer response without claiming a generation method.

    You should see: Request unauthorized; whether the voice was synthetic is not established.

    You can reject a request without proving how the media was made.

  4. 4. Draft a response plan

    Write a local note to pause the upload and retain minimal relevant evidence.

    You should see: Do not upload the list; preserve message ID/time and report through the established channel.

    Protecting information does not require forwarding private member data.

Now change one thing

Changed case: the only “verification” contact is a number inside the questionable message. Enter INDEPENDENT or NOT-INDEPENDENT.

Your work

What to finish

Verify a voice or video request record with the worked decisions and changed-case check.

Common mistake

Watch for this

Believing a familiar voice authenticates a request or assuming unauthorized means definitely AI-generated.

How can I tell I understand it?

Check a claimed speaker or request through an independent channel. Explain the evidence behind the result and correct any mismatch.

Try 3 questions

Quick knowledge check

Answer all 3 questions. Get at least 2 right and the lesson completes automatically.

Not yet passed

You’ll get an explanation for each answer. Signed in? Your results save to your account.

1A video call looks familiar but requests a new data upload. What provides stronger verification?
2An organizer confirms a message is unauthorized. What can you conclude about its production method?
3A suspect message contains a “call to verify” number. Why is that insufficient by itself?
0 of 3 answeredApply the lesson to a short question, then review the explanation.
4
Finish this lesson

Pass the check. We’ll save the progress.

Answer all 3 questions above and get at least 2 right. You can review the explanations and try again.

Go to the knowledge check
Optional course overview video · same video as Lesson 1
Center for Media EngagementElection Misinformation Symposium: Fighting Misinfo Through Fact-checking and Deepfake DetectionYouTube
Optional course overview

Election Misinformation Symposium: Fighting Misinfo Through Fact-checking and Deepfake Detection

From Center for Media Engagement. Watch here or open it on YouTube .

Optional course overview. Follow the written steps below at your own pace.
Tools, templates, and lesson sources

Tools and templates

Tools open in a new tab so you can keep your place here.

Sources and further reading

Explore the references behind this lesson.

MIT Media Lab: Detect DeepFakes
Source & access notes · checked 2026-09-12

Inspected the project overview, limits of visual detection, and linked symposium video.

Access: Public page or PDF inspected without payment or institutional sign-in on September 12, 2026. Optional external accounts are unnecessary for this course.

Reuse: Link and original paraphrase only. Public access does not grant blanket reuse; no provider text, figures, or exercises are reproduced.

Stanford: Digital Literacy in the Age of AI
Source & access notes · checked 2026-09-12

Inspected lateral reading, upstream checking, reverse-image searching, and the distinction between existing interventions and ongoing AI research.

Access: Public page or PDF inspected without payment or institutional sign-in on September 12, 2026. Optional external accounts are unnecessary for this course.

Reuse: Link and original paraphrase only. Public access does not grant blanket reuse; no provider text, figures, or exercises are reproduced.

Report a problem with this lesson

Tell us what went wrong. Please leave out personal information and private project contents.

No sign-in needed.