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Introduction

Artificial intelligence (AI) has revolutionized many industries, including the media industry. With the rise of algorithmic news curation, AI is playing a significant role in determining what news stories reach the audience. However, this advancement in technology has raised legal challenges in terms of media pluralism and freedom of expression. This thesis aims to explore the legal challenges that AI poses in algorithmic news curation and its impact on media pluralism.

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 Two: Literature Review
2.1 Introduction to AI and algorithmic news curation
2.2 Legal frameworks for media pluralism
2.3 Impact of AI on media content diversity
2.4 Ethical implications of AI in news curation
2.5 Case studies on legal challenges of AI in news curation
2.6 Regulatory responses to AI in media industry
2.7 Public perception of AI in news curation
2.8 Diversity and bias in AI algorithms
2.9 International perspectives on AI in media
2.10 Future trends in AI and media pluralism

Chapter Three: Research Methodology
3.1 Introduction to research design
3.2 Data collection methods
3.3 Sample selection
3.4 Data analysis techniques
3.5 Ethical considerations
3.6 Limitations of research methodology
3.7 Validity and reliability
3.8 Pilot study

Chapter Four: Discussion of Findings
4.1 Legal challenges of AI in algorithmic news curation
4.2 Impact on media pluralism
4.3 Regulatory gaps in AI governance
4.4 Ethical considerations in AI algorithms
4.5 Case studies analysis
4.6 Comparison of international approaches
4.7 Recommendations for policymakers
4.8 Implications for media industry

Chapter Five: Conclusion and Summary
5.1 Summary of findings
5.2 Conclusion
5.3 Contributions to existing literature
5.4 Practical implications
5.5 Future research directions

Thesis Overview on Legal Challenges of AI in Algorithmic News Curation and Media Pluralism

The thesis aims to explore the legal challenges that AI poses in algorithmic news curation and its impact on media pluralism. With the increasing reliance on AI in determining news content, there are concerns about the diversity of perspectives and the potential biases in algorithmic decision-making. The study will review existing literature on AI and media pluralism, examine legal frameworks for regulating AI in the media industry, and analyze the ethical implications of AI algorithms in news curation.

The research methodology will involve a comprehensive literature review, case studies analysis, and interviews with industry experts and policymakers. The findings will highlight the legal challenges of AI in algorithmic news curation, its impact on media pluralism, regulatory gaps, and ethical considerations. The thesis will provide recommendations for policymakers and industry stakeholders to address these challenges and promote media pluralism in the digital age.

In conclusion, the thesis will contribute to the existing literature on AI and media pluralism, provide insights into the regulatory responses to AI in the media industry, and offer recommendations for promoting diversity and transparency in algorithmic news curation. The study will have practical implications for policymakers, media organizations, and technology companies, and suggest future research directions in this emerging field.

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