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Table of Contents:

Chapter One: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Objectives of the Study
1.4 Significance of the Study
1.5 Scope of Study
1.6 Limitations of the Study

Chapter Two: Literature Review
2.1 Definition and Types of Online Harassment
2.2 Impact of Online Harassment
2.3 Linguistic Features of Online Harassment
2.4 Existing Studies on Online Harassment
2.5 Strategies for Addressing Online Harassment

Chapter Three: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Strategy
3.5 Ethical Considerations

Chapter Four: Discussion of Findings
4.1 Analysis of Linguistic Features of Online Harassment
4.2 Comparison of Different Types of Online Harassment
4.3 Patterns and Trends in Online Harassment
4.4 Implications for Policy and Practice

Chapter Five: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Recommendations for Future Research
5.4 Implications for Addressing Online Harassment

Abstract:
Online harassment has become a prevalent issue in today’s digital age, with individuals facing various forms of abuse and threats on social media platforms, chat rooms, and online forums. This research project aims to analyze the linguistic features of online harassment, focusing on the language and communication strategies used by perpetrators to target victims. Through a comprehensive literature review, the study examines the definition and types of online harassment, the impact it has on individuals, and the existing research on linguistic features in this context. The research methodology involves collecting and analyzing data from online platforms to identify patterns and trends in online harassment. The findings from this study will contribute to a better understanding of online harassment and provide insights into strategies for addressing this pervasive issue. Ultimately, this project seeks to raise awareness about the linguistic dimensions of online harassment and promote a safer online environment for all users.

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