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The Impact of Social Media on Voting Realignment in Ghana

发布时间:2024-03-27 18:59
  社会上/学术界存在着大量关于社交媒体政治用途的信息。过去的理论文献对一些关系进行了广泛的研究,包括社会媒体现象对政治传播、公民参与、政治两极分化、政治参与、感知到的政治利益和挑战以及政治影响和参与的影响。现有文献中似乎缺少的是与投票调整的联系。这项研究试图巩固社会媒体政治活动家对人们普遍投票调整的因果影响,利用加纳的数据,研究社交媒体如何影响选民偏好从一个政党转向另一个政党的过程。选民对一个更倾向的政党和一个不太倾向的政党的选择突然发生变化,这种变化受意识形态、国家政策、领导、制度和政治结构变化的影响。政治参与相对于社交媒体的动力是“民主的长生不老药”。本研究的潜在的假设是,种族和选民对某个政党的依恋程度都会影响摇摆不定的选民和核心选民的程度。然而,加纳视角中的变量已经被其他研究人员广泛研究过。他们将这些因素作为加纳投票行为的主要预测因素,其他决定因素则由这些预测因素演变而来。这表明,通过社交媒体、政治影响、在线政治参与、离线政治参与、政治倾向和投票模式,人们和政治活动家之间的相互联系对本研究仍然至关重要。这项研究使用五级QDA方法,提供了一个新的方法,旨在解决文献综述在语言、方法、概...

【文章页数】:189 页

【文章目录】:
摘要
ABSTRACT
Chapter1 Introduction
    1.1 Background of the Study
    1.2 Statement of the problem
    1.3 Research questions
    1.4 Research objectives
    1.5 Structure/Organization of the dissertation
    1.6 Contributions
Chapter2 Literature Review
    2.1 Introduction
    2.2 Core concepts
    2.3 Challenges and problems with existing interventions of literature review
    2.4 The five-level QDA
        2.4.1 Two levels of strategies:objectives and analytic plan
        2.4.2 Two levels of tactics:identifying software features
        2.4.3 Translation
        2.4.4 The translation process for the literature review
    2.5 Organising data sources
    2.6 Codebook for translation
    2.7 Methodology
        2.7.1 Research context
        2.7.2 Data collection
    2.8 Findings and discussion
        2.8.1 Challenges of literature review
        2.8.2 Most common literature review procedures and QDA
        2.8.3 Why are the respondents not using QDA?
    2.9 Post-test analysis
    2.10 Conclusion
    2.11 Chapter summary
Chapter3 Social Media and Politics
    3.1 Dimensions:positive and negative
    3.2 Voting realignment(VR)
    3.3 Online political participation(ONPP)
    3.4 Offline political participation(OFPP)
    3.5 Connectedness with social activists(CWSA)via social media and voting
    3.6 Political affect(PA)and political disposition(PD)
    3.7 About Ghana
        3.7.1 Overview
        3.7.2 Contextualizing voting realignments
        3.7.3 Political culture
        3.7.4 Communication and participation
        3.7.5 Internet and social media connectivity
    3.8 Other studies
    3.9 Sustainable governance
        3.9.1 Sustainable governance and social media
        3.9.2 Sustainable governance and SM in Ghana
        3.9.3 The extent of collaboration between the foremost Political Leaders in Ghana
        3.9.4 Implication of collaboration
    3.10 Chapter summary
Chapter4 Research Methodology
    4.1 Research philosophy and approaches to theory development
        4.1.1 Philosophy
        4.1.2 Objectivism–subjectivism dimensions
        4.1.3 Research paradigms
    4.2 Research design
        4.2.1 Methodological choice
        4.2.2 Research strategy
        4.2.3 The population of the study
        4.2.4 Questionnaire development
        4.2.5 Research model
    4.3 Chapter summary
Chapter5 Data Analysis and Results
    5.1 Data preprocessing
    5.2 Sample description
    5.3 Measurement model
    5.4 Structural equation modelling
    5.5 Common method variance(CMV)
    5.6 Multi-group analysis
    5.7 Chapter summary
Chapter6 Discussion
    6.1 Religious distribution
    6.2 Gender distribution
    6.3 Age distribution
    6.4 Preferred social media sites in Ghana
    6.5 Time spent online
    6.6 Online political participation and connections with social media activists on voting realignments
    6.7 Political affect,political disposition,and time online on voting realignments
    6.8 Multi-group analysis:gender,Whats App and Facebook,and religion
    6.9 Chapter summary
Chapter7 Conclusion
    7.1 Implications of the study
    7.2 Limitations and future research
Acknowledgments
References
Appendix
    Appendix1:Supplementary files and their titles
    Appendix2:Post-test questionnaire for chapter
    Appendix3:Results of regression analysis– coefficients for chapter
    Appendix4:Measurement model assessment
    Appendix5:Comparison of models– gender,structural equation modeling
    Appendix6:Multigroup analysis for preferred social media platform- Structural equation modeling
    Appendix7:Uni-and multivariate normality assessment
    Appendix8:Model specification for the structural equation modelling
    Appendix9:Non-parametric analysis for compare gender influence on the latent variable scores
    Appendix10:Normality test of data
Research Results Obtained during the Study for Doctoral Degree



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