The Impact of Social Media Algorithms on Public Perception of News Credibility

1. Introduction 1.1 Background of Social Media Algorithms 1.2 Importance of News Credibility 1.3 Research Objectives 1.4 Structure of the Study 2. Literature Review 2.1 History of Social Media Platforms 2.2 Development of Algorithmic Filtering 2.3 Understanding Public Perception 2.4 Overview of News Credibility 3. Social Media Algorithms 3.1 Types of Algorithms Used 3.2 Algorithmic Transparency and Control 3.3 Effects on Content Curation 3.4 Case Studies of Algorithm Impact 4. News Credibility in the Digital Age 4.1 Factors Influencing News Credibility 4.2 Role of Journalistic Standards 4.3 User Interaction with News 4.4 Challenges of Fake News 5. Methodology 5.1 Research Design and Approach 5.2 Data Collection Techniques 5.3 Sampling and Participants 5.4 Data Analysis Methods 6. Analysis of Algorithms' Impact 6.1 Algorithm Influence on News Selection 6.2 Audience Engagement with News Stories 6.3 Perception of News Sources 6.4 Implications for Public Knowledge 7. Discussion 7.1 Summary of Key Findings 7.2 Comparison with Existing Research 7.3 Limitations of the Study 7.4 Directions for Future Research 8. Conclusion 8.1 Recap of Major Points 8.2 Implications for News Industry 8.3 Recommendations for Social Media Policy 8.4 Final Thoughts on News Credibility