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🧭 Case Study 8: Social Media Manipulation & Algorithmic Amplification

An ethical breakdown of engagement driven algorithms, information distortion, and mass psychological influence

📌 Background

Social media platforms like Facebook, YouTube, and TikTok use AI systems to curate content feeds. These models are optimized to maximize engagement, not truth, safety, or user well being.

Whistleblower testimony and internal research, including Frances Haugen’s disclosures, show these algorithms often promote polarizing, emotional, and harmful content to keep users scrolling. This influence occurs without awareness, disclosure, or consent.

⚖️ Ethical Concerns

  • Amplification of Harmful Content: Algorithmic logic rewards emotional extremes. Disinformation, outrage, and fear based content often surfaces first, not by accident but by design.
  • Uninformed Manipulation: Users do not know their feeds are emotionally engineered. There is no opt out, no warning, and no meaningful control over influence.
  • Mental Health Impact: Research links algorithmic exposure to increased anxiety, depression, and body image issues, especially among young users.

📊 By the Numbers

🧠 Ethical Reflection

The feed is not passive. It actively sculpts what people believe, feel, and prioritize. When attention becomes currency, emotion becomes the product.

Influence without informed consent is not engagement. It is manipulation.

Algorithms that shape identity and belief must operate with full visibility, not hidden in the mechanics of monetization.

🛠️ Clause Tie In (from Doctrine)

Clause 6.6: Transparency and Limits in Algorithmic Engagement Systems

Platforms that influence emotions, beliefs, or public conversation must disclose algorithmic goals and offer real opt out paths. Psychological and political manipulation without consent is an ethical breach.

📎 Related Resources

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