Metadata
Interdisciplinary / Other Any Level Analyze Medium
Metadata
  • Subject

    Interdisciplinary / Other

  • Education level

    Any Level

  • Cognitive goals

    Analyze

  • Difficulty estimate

    Medium

  • Tags

    misinformation, social media, algorithms, polarization, media literacy, public health

  • 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 learners' ability to analyze factors contributing to the spread of misinformation on social media and evaluate societal impacts. Scope includes psychological drivers (confirmation bias, motivated reasoning, emotional contagion); platform mechanics (algorithmic amplification, virality, filter bubbles, bot activity); information ecosystem features (source credibility, rumor typologies, cross-platform diffusion); and consequences for polarization, public health, democratic processes, and trust. Tasks: interpret case studies and data visualizations, critique mitigation strategies, and propose evidence-based interventions considering ethics and feasibility.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.