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Introduction

In recent years, the growth of social media platforms has revolutionized the way individuals consume and interact with content online. With the vast amount of information available on these platforms, users often rely on content curation algorithms to filter and present content that is relevant to their interests. However, these algorithms are not immune to cognitive biases, which can impact the type of content that is shown to users. Cognitive biases are inherent tendencies to think in certain ways that can lead to deviations from rational and objective judgment. In the context of social media content curation, these biases can affect the diversity and balance of viewpoints that users are exposed to, potentially leading to polarization and misinformation.

This thesis aims to explore the role of cognitive biases in social media content curation and their implications for users’ information consumption habits. By examining the impact of these biases on the types of content that are surfaced and promoted on social media platforms, this research seeks to shed light on the potential consequences for individuals and society at large. By understanding how cognitive biases influence content curation algorithms, we can develop strategies to mitigate their negative effects and promote a more diverse and balanced information ecosystem.

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 Overview of social media content curation
2.2 Types of cognitive biases
2.3 Confirmation bias in social media
2.4 Availability bias in content curation
2.5 Anchoring bias in recommendation algorithms
2.6 Filter bubble and echo chambers
2.7 Impact of cognitive biases on information consumption
2.8 Strategies to mitigate cognitive biases in content curation
2.9 Ethical considerations in algorithmic content curation
2.10 Future directions in research on cognitive biases in social media

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sampling techniques
3.4 Data analysis procedures
3.5 Ethical considerations
3.6 Pilot study
3.7 Variables and measures
3.8 Limitations of the research methodology

Chapter 4: Discussion of Findings
4.1 Analysis of cognitive biases in social media content curation
4.2 Impact on user behavior and attitudes
4.3 Comparison of different social media platforms
4.4 Implications for information diversity and polarization
4.5 Recommendations for content creators and platform developers
4.6 Future research directions

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to the field
5.3 Limitations of the study
5.4 Implications for policy and practice
5.5 Recommendations for future research
5.6 Conclusion

Thesis Overview

The rapid growth of social media platforms has transformed the way individuals consume and interact with information online. With the increasing reliance on content curation algorithms to filter and present relevant content, the role of cognitive biases in shaping users’ information consumption habits has become a topic of significant interest. This thesis aims to investigate the impact of cognitive biases on social media content curation and their implications for individuals and society.

Chapter 1 provides an introduction to the topic, outlining the background of the study, the problem statement, objectives, limitations, scope, significance of the study, structure of the thesis, and definitions of key terms. Chapter 2 presents a comprehensive literature review on social media content curation, cognitive biases, and their effects on information consumption. Chapter 3 details the research methodology employed in this study, including research design, data collection methods, sampling techniques, data analysis procedures, ethical considerations, pilot study, variables and measures, and limitations.

Chapter 4 discusses the findings of the research, analyzing the role of cognitive biases in social media content curation, their impact on user behavior and attitudes, comparisons across different platforms, implications for information diversity and polarization, recommendations for content creators and platform developers, and future research directions. Finally, Chapter 5 provides a conclusion and summary of the project, highlighting key findings, contributions to the field, limitations, implications for policy and practice, recommendations for future research, and a concluding statement.

By examining the interplay between cognitive biases and social media content curation, this thesis aims to contribute to a better understanding of how biases influence information consumption and to inform strategies for promoting a more diverse and balanced information ecosystem.

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