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NAVIGATING THE FILTER BUBBLE EXPERIENCE IN SOCIAL MEDIA USE-EVIDENCE FROM NIGERIA
Abstract:
This study delves into the phenomenon of filter bubbles within the context of social media use in Nigeria. The filter bubble, characterized by the personalized isolation of individuals within algorithmically determined information spheres, has emerged as a significant concern in the digital age. This research seeks to provide evidence-based insights into how users in Nigeria navigate and experience filter bubbles across various social media platforms.
Utilizing a mixed-methods approach, the study combines qualitative analyses of user experiences and perceptions with quantitative assessments of algorithmic content filtering. Through interviews, surveys, and content analysis, the research aims to understand the factors influencing the formation and impact of filter bubbles on the diverse Nigerian social media landscape.
The study examines the role of algorithms in shaping the information ecosystem for users, the resulting implications for information diversity, and the potential effects on public discourse. Additionally, it explores user awareness, attitudes, and strategies employed to navigate the filter bubble experience, considering socio-cultural and contextual factors unique to Nigeria.
The anticipated findings of this research contribute to the global discourse on the societal implications of filter bubbles while offering specific insights into the Nigerian social media landscape. By understanding how users navigate the filter bubble experience, policymakers, social media platforms, and the public can develop informed strategies to promote a more diverse, inclusive, and well-informed online environment. This study aligns with the broader goals of enhancing digital literacy, fostering information diversity, and promoting a healthier digital public sphere in Nigeria and beyond.
Chapter 1: Introduction
1.1 Background and Context
1.2 Research Objectives
1.3 Significance of the Study
1.4 Scope and Limitations
1.5 Definition of Key Terms
Chapter 2: Literature Review
2.1 Filter Bubbles: Concept and Evolution
2.2 Social Media Algorithms and Personalization
2.3 Filter Bubbles in Developing Countries
2.4 Prior Research on Social Media Use in Nigeria
Chapter 3: Methodology
3.1 Research Design
3.2 Sampling Strategy
3.3 Data Collection Methods
3.3.1 Interviews
3.3.2 Surveys
3.3.3 Content Analysis
3.4 Data Analysis Techniques
Chapter 4: User Experiences and Strategies
4.1 Awareness and Perception of Filter Bubbles
4.2 Analysis of Algorithmic Content Filtering
4.3 Implications for Information Diversity
4.4 User-Adopted Strategies for Navigating Filter Bubbles
Chapter 5: Discussion and Recommendations
5.1 Interpretation of Findings
5.2 Comparative Analysis with Global Trends
5.3 Implications for Social Media Platforms and Policymakers
5.4 Recommendations for Digital Literacy Enhancement
References
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