Spot fake news and algorithm bubbles
The internet shows you what keeps you scrolling — not necessarily what's true.
Show 3 viral social media posts — one true, one false, one satire. Students vote on each. Most get at least one wrong. Why?
Fact-checking newsroom: students are editors at a fictional fact-checking agency. They receive 8 claims (supplied — mix of real viral posts and fabricated ones). For each: classify (true/false/misleading/satire), apply SIFT, write a one-sentence verdict with evidence. Then create a short "How to Spot Fake News" Instagram-style carousel (3 slides in Canva).
Which claim was hardest to verify? Why? What does that tell us about how misinformation works?
AI-generated text and deepfakes are making misinformation harder than ever to detect. Even fact-checkers struggle.
Completed fact-check log + Canva carousel (exported)
Find a claim that went viral on social media and turned out to be false. Research it using Full Fact or Snopes. Write a short report: what was claimed, what was actually true, and why people believed it.
Claims are pre-highlighted with the key statement to check
Research how governments and organisations use social media strategically to influence public opinion. Is this misinformation?