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

1. Introduction 1.1 Background of Study 1.2 Research Objectives 1.3 Significance of the Study 1.4 Research Questions 2. Literature Review 2.1 Definition of Social Media Algorithms 2.2 News Credibility and Public Perception 2.3 Existing Research on Algorithms 2.4 Theoretical Framework 3. Methodology 3.1 Research Design 3.2 Data Collection Methods 3.3 Sample Selection 3.4 Data Analysis Techniques 4. The Role of Algorithms 4.1 Mechanisms of Social Media Algorithms 4.2 Algorithms in News Dissemination 4.3 User Interaction and Algorithm Feedback 4.4 Case Studies of Algorithm Impact 5. News Credibility Factors 5.1 Criteria for News Credibility 5.2 Influences on Public Perception 5.3 The Role of Misinformation 5.4 Trust in News Sources 6. Analysis of Social Media Influence 6.1 Algorithm-Driven Content Personalization 6.2 Filter Bubbles and Echo Chambers 6.3 Comparative Analysis of Platforms 6.4 User Awareness and Perception 7. Discussion 7.1 Synthesis of Findings 7.2 Implications for News Organizations 7.3 Ethical Considerations 7.4 Limitations of the Study 8. Conclusions and Recommendations 8.1 Summary of Key Findings 8.2 Recommendations for Future Research 8.3 Policy Implications 8.4 Final Thoughts on Social Media Impact