1. Introduction 1.1 Background of the Study 1.2 Research Objectives 1.3 Scope and Limitations 1.4 Structure of the Paper 2. Theoretical Framework 2.1 Social Media Algorithms 2.2 Political News Consumption 2.3 Journalism in the Digital Age 3. Social Media Algorithm Mechanisms 3.1 Definition and Types 3.2 Personalization and Filtering 3.3 Role of Machine Learning 4. Political News Consumption Patterns 4.1 Historical Overview 4.2 Changes in Consumption Habits 4.3 Influence of Social Media 5. Impact on Journalism Practices 5.1 Changing Content Distribution 5.2 Effects on News Credibility 5.3 Adaptation by Journalists 6. Case Studies 6.1 Case Study Methodology 6.2 Key Examples of Influence 6.3 Analysis of Outcomes 7. Ethical and Societal Implications 7.1 Algorithmic Bias Concerns 7.2 Echo Chambers and Polarization 7.3 Regulatory and Policy Responses 8. Conclusion 8.1 Summary of Findings 8.2 Implications for Future Research 8.3 Recommendations for Stakeholders
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