English · Grade 12
Evaluate Media and Algorithmic Information
Learners examine how information reaches them today. They explain how search ranking and recommendation feeds select content and where those systems fall short (treating “filter bubble” claims as debated), evaluate AI-generated text and images, including invented facts and citations, analyze data claims and charts for cherry-picked ranges and totals that should be rates, and build a personal verification routine with attention to ethics.
- 4 lessons
- About 145 minutes
- Media and algorithmic information check: 10 questions
- Ways to answer: choose an answer, highlight a text, match pairs, type a number, put in order and sort into groups
What learners will discover
- Explain how search ranking and recommendation systems select information, using signals such as relevance, engagement and personalization, and describe their limits.
- Evaluate AI-generated text and images, recognizing fabricated facts and citations and applying verification routines.
- Analyze data claims and visualizations for misleading ranges, totals versus rates and unsupported conclusions.
- Apply a personal verification routine to claims in diverse media and make ethical decisions about sharing and creating content.
Lessons
-
How ranking and feeds choose 6 steps3 practiceabout 33 min
-
AI-generated text and images 6 steps3 practiceabout 37 min
-
Read the data behind the claim 5 steps3 practiceabout 37 min
-
Your verification routine and ethics 5 steps3 practiceabout 38 min
-
Media and algorithmic information check 10 questions at the end
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