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1. Introduction 1.1 Background of the Study 1.2 Research Objectives 1.3 Significance of the Study 1.4 Scope and Limitations 2. Literature Review 2.1 AI in Digital Media 2.2 Audience Perception Theories 2.3 Trust in Media Sources 2.4 Previous Studies on AI News 3. Methodology 3.1 Research Design 3.2 Data Collection Techniques 3.3 Sampling Strategy 3.4 Data Analysis Methods 3.5 Ethical Considerations 4. AI-Generated News Features 4.1 Definition and Characteristics 4.2 Comparison with Human-Generated News 4.3 Evolution of AI Tools in Journalism 5. Audience Perception Analysis 5.1 Factors Influencing Perception 5.2 Survey Findings 5.3 Case Studies 6. Trust Issues in AI Journalism 6.1 Trust Metrics in Media 6.2 Impact on Credibility 6.3 Strategies to Enhance Trust 7. Comparative Case Studies 7.1 AI-Generated vs Traditional News 7.2 Audience Engagement Levels 7.3 Notable Real-World Examples 8. Conclusion and Recommendations 8.1 Summary of Findings 8.2 Implications for Digital Media 8.3 Future Research Directions 8.4 Recommendations for Stakeholders
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