1. Introduction 1.1 Background and Context 1.2 Research Objectives 1.3 Significance of the Study 1.4 Scope and Limitations 2. Literature Review 2.1 Historical Overview of Social Media 2.2 Algorithms in Social Media 2.3 Public Opinion and Media 2.4 Previous Studies on Algorithms 2.5 Current Research Gaps 3. Theoretical Framework 3.1 Media Influence Theories 3.2 Algorithms and Information Flow 3.3 Models of Public Opinion Formation 4. Methodology 4.1 Research Design 4.2 Data Collection Methods 4.3 Sampling Strategy 4.4 Data Analysis Techniques 4.5 Ethical Considerations 5. Social Media Algorithms in 2023 5.1 Current Algorithm Technologies 5.2 Key Players and Platforms 5.3 Algorithm Transparency Issues 6. Public Opinion Formation 6.1 Definition and Importance 6.2 Factors Influencing Public Opinion 6.3 Social Media's Role 7. Impact Assessment 7.1 Data Analysis and Interpretation 7.2 Case Studies 7.3 Comparative Analysis 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Implications for Stakeholders 8.3 Future Research Directions 8.4 Final Thoughts
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