Examining the Impact of Social Media Algorithms on News Consumption and Public Opinion Formation

1. Introduction 1.1 Background and Context 1.2 Purpose and Objectives 1.3 Research Questions 1.4 Structure of the Study 2. Literature Review 2.1 Social Media Algorithms 2.2 News Consumption in Digital Era 2.3 Influence on Public Opinion 2.4 Critical Perspectives 2.5 Summary of Literature 3. Theoretical Framework 3.1 Agenda-Setting Theory 3.2 Filter Bubbles and Echo Chambers 3.3 Cognitive Dissonance Theory 4. Research Methodology 4.1 Research Design 4.2 Data Collection Methods 4.3 Sampling Techniques 4.4 Data Analysis Procedures 4.5 Ethical Considerations 5. Social Media Algorithms Analysis 5.1 Algorithm Mechanisms 5.2 Personalization and Customization 5.3 Algorithm Transparency 5.4 Algorithmic Bias 6. Impact on News Consumption 6.1 Changes in Consumption Patterns 6.2 Quality and Diversity of Information 6.3 User Engagement and Interaction 7. Formation of Public Opinion 7.1 Influencing Factors 7.2 Public Perception and Awareness 7.3 Case Studies and Examples 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Implications for Stakeholders 8.3 Recommendations for Future Research 8.4 Final Thoughts and Conclusions