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1. Introduction 2. Theoretical Framework 2.1 Definition of Social Media Algorithms 2.2 Public Perception of News 2.3 Credibility in the Digital Age 3. Historical Context 3.1 Evolution of News Consumption 3.2 Algorithm Development Phases 3.3 Rise of Fake News 4. Analysis of Social Media Platforms 4.1 Facebook and Algorithm Impact 4.2 Twitter: News Dissemination 4.3 Instagram and Visual Information 4.4 Emerging Platforms 5. Algorithms' Influence Mechanisms 5.1 Personalization and Filter Bubbles 5.2 Echo Chambers Creation 5.3 Engagement-driven Content 6. Case Studies 6.1 Misleading News on Facebook 6.2 Viral News on Twitter 6.3 Instagram Misinformation Campaigns 7. Public Perception Studies 7.1 Survey Analysis on News Trust 7.2 Experimental Studies 7.3 Comparative International Insights 8. Mitigating Negative Effects 8.1 Algorithmic Transparency 8.2 Fact-checking and Education 8.3 Policy and Regulation Recommendations 9. Conclusion
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