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Introduction

Investigative journalism and data-driven reporting have become increasingly important in today’s media landscape, with journalists and news organizations relying on data to uncover important stories and present information to the public in a meaningful way. However, the traditional methods of data analysis and presentation can often be complex and overwhelming for both journalists and audience members.

Interactive data visualization has emerged as a powerful tool for journalists to explore and present data in a more engaging and accessible manner. By allowing users to interact with data visually, journalists can provide a more immersive and informative experience for their audience. This thesis aims to explore the potential of interactive data visualization in investigative journalism and data-driven reporting, and how it can enhance the storytelling process and improve the impact of investigative reporting.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Evolution of investigative journalism
2.2 Importance of data-driven reporting
2.3 Traditional data analysis methods
2.4 Advantages of interactive data visualization
2.5 Examples of successful data visualization projects in journalism
2.6 Challenges and limitations of interactive data visualization
2.7 Ethical considerations in data journalism
2.8 Impact of data visualization on audience engagement
2.9 Role of storytelling in investigative journalism
2.10 Future trends in data-driven reporting

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Case study approach
3.5 Sampling strategies
3.6 Participant selection
3.7 Piloting and validation
3.8 Ethical considerations

Chapter 4: Discussion of Findings
4.1 Overview of findings
4.2 Analysis of data visualization tools used in investigative journalism
4.3 Impact of interactive data visualization on storytelling
4.4 Audience engagement and feedback
4.5 Challenges and limitations encountered
4.6 Recommendations for future research
4.7 Implications for practice
4.8 Conclusion

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Implications for investigative journalism
5.3 Recommendations for future research
5.4 Conclusion

Thesis Overview: Exploring the potential of interactive data visualization in investigative journalism and data-driven reporting

Data visualization is an essential tool for investigative journalists and data-driven reporters to present complex information in a visually engaging format. This thesis aims to explore the potential of interactive data visualization in enhancing the storytelling process and improving the impact of investigative reporting.

The literature review will discuss the evolution of investigative journalism, the importance of data-driven reporting, traditional data analysis methods, advantages of interactive data visualization, examples of successful data visualization projects in journalism, challenges and limitations of interactive data visualization, ethical considerations in data journalism, impact of data visualization on audience engagement, role of storytelling in investigative journalism, and future trends in data-driven reporting.

The research methodology will detail the research design, data collection methods, data analysis techniques, case study approach, sampling strategies, participant selection, piloting and validation, and ethical considerations.

The discussion of findings will analyze the data visualization tools used in investigative journalism, the impact of interactive data visualization on storytelling, audience engagement and feedback, challenges and limitations encountered, recommendations for future research, implications for practice, and a conclusion.

The conclusion and summary will provide a summary of key findings, implications for investigative journalism, recommendations for future research, and a conclusion.

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