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Interactive checklist for every phase of your thesis
1. Introduction 1.1 Background of Investigative Journalism 1.2 Emergence of Artificial Intelligence 1.3 Research Objectives and Questions 2. Historical Context 2.1 Evolution of Investigative Journalism 2.2 Early AI Applications in Journalism 2.3 Challenges Before 2023 3. AI Technologies in Use 3.1 Machine Learning Algorithms 3.2 Natural Language Processing 3.3 Data Analytics Tools 3.4 Automation in Reporting 4. Case Studies 4.1 Successful AI-Driven Investigations 4.2 Lessons from Unsuccessful Applications 4.3 Comparative Analysis of Case Studies 5. Ethical Considerations 5.1 Privacy and Data Security 5.2 Bias in AI Systems 5.3 Impact on Journalistic Integrity 6. AI's Impact on Journalistic Methods 6.1 Enhancing Data Gathering 6.2 Streamlining Fact-Checking 6.3 Visualizing Complex Data Sets 7. Challenges and Limitations 7.1 Technical Barriers 7.2 Resistance from Traditional Journalists 7.3 Ensuring AI Accuracy 8. Future Prospects 8.1 Emerging AI Trends in Journalism 8.2 Long-Term Implications for the Industry 8.3 Recommendations for Future Research
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