1. Introduction 2. Background of Predictive Algorithms 2.1 Definition and Types 2.2 Historical Development 2.3 Application in Social Media 3. Ethical Frameworks 3.1 Utilitarianism 3.2 Deontological Ethics 3.3 Virtue Ethics 4. Data Privacy Concerns 4.1 User Consent and Awareness 4.2 Data Security Measures 4.3 Legal and Regulatory Standards 5. Bias and Fairness in Algorithms 5.1 Sources of Algorithmic Bias 5.2 Impact on Marginalized Communities 5.3 Strategies for Mitigation 6. Impact on User Behavior 6.1 Echo Chambers and Polarization 6.2 Influence on Mental Health 6.3 User Autonomy and Choice 7. Corporate Responsibility 7.1 Transparency in Algorithm Design 7.2 Accountability Mechanisms 7.3 Stakeholder Engagement 8. Future Prospects and Recommendations 8.1 Emerging Ethical Guidelines 8.2 Technological Advancements 8.3 Policy Implications 9. Conclusion
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