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**Thesis Title:** Fake Review Detection for Online Marketplaces

**Chapter One: 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 Thesis
1.9 Definition of Terms

**Chapter Two: Literature Review**
2.1 Introduction to Literature Review
2.2 Concept of Fake Reviews
2.3 Types of Fake Reviews
2.4 Detection Techniques for Fake Reviews
2.5 Impact of Fake Reviews on Online Marketplaces
2.6 Existing Solutions for Fake Review Detection
2.7 Challenges in Fake Review Detection
2.8 Ethics of Fake Review Detection
2.9 Theoretical Framework
2.10 Summary of Literature Review

**Chapter Three: Research Methodology**
3.1 Introduction to Research Methodology
3.2 Research Design
3.3 Data Collection Methods
3.4 Data Analysis Techniques
3.5 Sampling Techniques
3.6 Validity and Reliability
3.7 Ethical Considerations
3.8 Limitations of Research Methodology

**Chapter Four: Discussion of Findings**
4.1 Introduction to Discussion
4.2 Analysis of Fake Review Detection Techniques
4.3 Comparison of Different Detection Methods
4.4 Case Studies on Fake Review Detection
4.5 Recommendations for Improving Detection
4.6 Future Research Directions
4.7 Implications for Online Marketplaces
4.8 Conclusion of Findings

**Chapter Five: Conclusion and Summary**
5.1 Conclusion
5.2 Summary of Findings
5.3 Contributions to the Field
5.4 Practical Implications
5.5 Recommendations for Future Research
5.6 Conclusion

**Thesis Overview:**

Fake reviews have become a prevalent issue in online marketplaces, leading to a loss of trust among consumers and businesses. This thesis aims to investigate the problem of fake review detection and propose effective solutions to combat this fraudulent activity.

In Chapter One, the introduction provides a background of the study, the problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms related to fake review detection in online marketplaces.

Chapter Two presents a comprehensive literature review on fake reviews, including their concepts, types, detection techniques, impacts, existing solutions, challenges, ethics, and theoretical framework.

Chapter Three outlines the research methodology, including research design, data collection and analysis methods, sampling techniques, validity and reliability, ethical considerations, and limitations of the research methodology.

Chapter Four discusses the findings of the study, analyzing different fake review detection techniques, comparing methods, presenting case studies, offering recommendations for improvement, suggesting future research directions, and discussing implications for online marketplaces.

Finally, Chapter Five provides a conclusion and summary of the findings, highlighting contributions to the field, practical implications, recommendations for future research, and a concluding remark on fake review detection for online marketplaces.

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