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Introduction

In today’s digital age, social media has become a prevalent platform for individuals to share content and connect with others. The viral nature of social media content has the potential to reach a wide audience and have a significant impact. Predicting which content will go viral on social media can be a valuable tool for marketers, content creators, and researchers to optimize their strategies and increase engagement. This thesis aims to explore the factors that contribute to the virality of content on social media and develop a predictive model to forecast the potential success of a post going viral.

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 Overview of social media and viral content
2.2 Factors influencing virality on social media
2.3 Theories of virality in social media
2.4 Previous studies on predicting viral content
2.5 Strategies for creating viral content
2.6 Measurement of virality on social media
2.7 Ethical considerations in predicting viral content
2.8 Impacts of viral content on society
2.9 Future trends in viral content prediction
2.10 Summary of literature review

Chapter Three: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling technique
3.4 Data analysis techniques
3.5 Development of predictive model
3.6 Variable selection
3.7 Model evaluation
3.8 Ethical considerations in research
3.9 Limitations of methodology

Chapter Four: Discussion of Findings
4.1 Analysis of data
4.2 Evaluation of predictive model
4.3 Comparison of different variables
4.4 Insights into factors affecting virality
4.5 Implications for marketers and content creators
4.6 Recommendations for future research
4.7 Limitations of the study
4.8 Conclusion

Chapter Five: Conclusion and Summary
5.1 Summary of key findings
5.2 Implications for practice
5.3 Contributions to the field
5.4 Recommendations for future research
5.5 Conclusion

Overall, this thesis aims to provide valuable insights into the prediction of viral content on social media. By understanding the factors that contribute to virality and developing a predictive model, this research can help individuals and organizations optimize their social media strategies and increase their online presence.

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