Metadata
Interdisciplinary / Other Grade 9-12 Understand Medium
View More
Metadata

  • Subject

    Interdisciplinary / Other

  • Education level

    Grade 9-12

  • Cognitive goals

    Understand

  • Difficulty estimate

    Medium

  • Tags

    algorithmic recommendation, information exposure, civic discourse, bias, media literacy, social media

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess students' understanding of how algorithmic recommendation systems (e.g., social media feeds and news personalization) shape information exposure and influence civic discourse—covering basic algorithm mechanics, feedback loops, filter bubbles/echo chambers, bias and misinformation amplification, impacts on public opinion and polarization, and strategies for critical evaluation and mitigation.
Use
Remix
Export
Review & Revise
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.