wunder beta📱 Social Media Smarts
Your feed is engineered. Learn to read it critically before it reads you.
What you’ll learn
- Define media literacy and distinguish misinformation from disinformation.Media literacy is the skill of analyzing and evaluating what you see online. Misinformation is shared without intent to deceive while disinformation is deliberate, and both spread fast because emotional content gets engagement. Pausing before sharing is the key habit.
- Explain how ranking algorithms, filter bubbles, and targeted ads shape your feed.Feeds are ranked by algorithms optimized for engagement, not accuracy, which can trap you in filter bubbles and echo chambers. The same systems target ads using your data, so popularity is not proof of truth and your attention is the product.
- Apply practical techniques to verify claims, images, and sources.Lateral reading, spotting red flags like urgency and missing sources, and verifying images with reverse search help you catch misleading content. Building consistent habits and noticing your own emotional reactions turns you into a critical, confident reader.
Questions this course answers
What is the difference between misinformation and disinformation?
Misinformation is false content shared without intent to deceive, while disinformation is created and spread deliberately to mislead.
Why does false or sensational content often spread faster than accurate reporting?
Emotionally charged content gets more engagement, and platforms tend to promote what gets clicks and shares.
What is the single most useful habit for reducing the misinformation you spread?
Pausing to verify a source, date, and claim before sharing dramatically cuts how much misinformation an individual spreads.
What are most social media feeds primarily optimized for?
Ranking algorithms usually aim to maximize engagement and attention, not to present information fairly or in time order.
What is a filter bubble?
A filter bubble is a personalized information environment that mainly shows you content aligning with what you already believe.
Because algorithms favor engagement over accuracy, what should you NOT treat as evidence a claim is true?
Content is often promoted for being engaging, not accurate, so popularity or virality is not evidence that a claim is true.
Grounded in trusted sources
- Harvard Kennedy School Misinformation Review, Algorithmic literacy among youth, 2025, https://misinforeview.hks.harvard.edu/
- MDPI Journalism and Media, Media Literacy Education and Misinformation in Social Media Among Adolescents: A Systematic Review and Meta-Analysis, https://www.mdpi.com/2673-5172/7/2/71
- Central Methodist University Libraries, Fake News and Digital Media Literacy, https://centralmethodist.libguides.com/fake_news
- Monmouth University LibGuides, Media Literacy and Misinformation, https://guides.monmouth.edu/media_literacy
Every Wunder lesson is built from real, reputable sources — never invented.
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