Practice rapid, layered countermeasures against synthetic media without overpromising on detection. Learn how provenance, prebunking, platform workflows, and human review fit together in real incidents.
Which approach embeds tamper-evident provenance data so audiences can verify where an image or video came from and how it was edited?
Publishing with Content Credentials using the C2PA standard
Posting a legal disclaimer only
Hashing files privately without exposing metadata
Relying on platform watermarks alone
Why should comms teams avoid promising 100% deepfake detection in statements?
Detection tools are illegal in several countries
Detection tools have generalization limits and can be evaded in the wild
Detection always violates platform policies
Detection requires personal biometrics from every viewer
A manipulated audio of your CEO starts circulating. What FIRST response best reduces the ‘liar’s dividend’ that lets bad actors dismiss authentic content as fake?
Delete prior authentic clips to avoid confusion
Wait for courts to rule before commenting
Publish an authenticated source clip and provenance details quickly
Ask staff not to acknowledge the clip anywhere
Prebunking in 2025 crisis playbooks refers to which tactic?
Banning user comments during crises
Outsourcing all monitoring to a third party
Posting rebuttals only after a hoax trends
Inoculating audiences ahead of time with examples and how-to-spot cues
Under the EU Digital Services Act regime, which instrument formalizes platform commitments for tackling disinformation, including AI-generated content?
The Code of Practice on Disinformation treated as a DSA Code of Conduct
The ePrivacy Directive cookie rules
The EU AI Act’s Annex III only
The GDPR Security Annex
What is the safest assumption about watermarking alone as a defense against deepfakes?
It guarantees legal takedowns within 24 hours
It is insufficient by itself because marks can be removed or break under transforms
It encrypts all media at rest automatically
It blocks uploads platform-wide
Which workflow best fits the first hour of an AI-hoax crisis affecting your brand?
Crowdsource verdicts via a public poll
Issue a blanket denial without reviewing the clip
Route clips to a human review cell, publish a brief holding line, and start platform escalation with a case ID
Refuse comment until a full forensic report is complete
Music platforms in mid‑2025 moved to curb AI ‘sound‑alike’ uploads. What policy shift matters most to brand risk?
Blocking every AI tool regardless of use
A new ban on all covers recorded in studios
Removing all user‑generated content
Tighter enforcement against inauthentic synthetic vocals and clearer labeling
What is the primary value of Content Credentials for a newsroom or brand channel during a misinformation surge?
They provide verifiable edit history and origin that third parties can inspect
They auto‑translate posts into 30 languages
They force every viewer to pass a CAPTCHA
They disable resharing on rival platforms
When detection confidence is low but harm is rising, which response aligns with 2025 guidance?
Name and shame suspected uploaders publicly
Escalate moderation and publish risk‑based guidance while continuing verification
Do nothing until 100% certainty is reached
Disable your main website to avoid traffic
Starter
You’re learning how layered defenses work against synthetic media. Keep practicing provenance and fast, honest updates.
Solid
Good grasp of provenance, prebunking, and platform escalation—tighten playbooks and timings.
Expert!
Outstanding: you combine provenance, risk‑based action, and human review under pressure.
