社會(huì)上/學(xué)術(shù)界存在著大量關(guān)于社交媒體政治用途的信息。過(guò)去的理論文獻(xiàn)對(duì)一些關(guān)系進(jìn)行了廣泛的研究,包括社會(huì)媒體現(xiàn)象對(duì)政治傳播、公民參與、政治兩極分化、政治參與、感知到的政治利益和挑戰(zhàn)以及政治影響和參與的影響。現(xiàn)有文獻(xiàn)中似乎缺少的是與投票調(diào)整的聯(lián)系。這項(xiàng)研究試圖鞏固社會(huì)媒體政治活動(dòng)家對(duì)人們普遍投票調(diào)整的因果影響,利用加納的數(shù)據(jù),研究社交媒體如何影響選民偏好從一個(gè)政黨轉(zhuǎn)向另一個(gè)政黨的過(guò)程。選民對(duì)一個(gè)更傾向的政黨和一個(gè)不太傾向的政黨的選擇突然發(fā)生變化,這種變化受意識(shí)形態(tài)、國(guó)家政策、領(lǐng)導(dǎo)、制度和政治結(jié)構(gòu)變化的影響。政治參與相對(duì)于社交媒體的動(dòng)力是“民主的長(zhǎng)生不老藥”。本研究的潛在的假設(shè)是,種族和選民對(duì)某個(gè)政黨的依戀程度都會(huì)影響搖擺不定的選民和核心選民的程度。然而,加納視角中的變量已經(jīng)被其他研究人員廣泛研究過(guò)。他們將這些因素作為加納投票行為的主要預(yù)測(cè)因素,其他決定因素則由這些預(yù)測(cè)因素演變而來(lái)。這表明,通過(guò)社交媒體、政治影響、在線政治參與、離線政治參與、政治傾向和投票模式,人們和政治活動(dòng)家之間的相互聯(lián)系對(duì)本研究仍然至關(guān)重要。這項(xiàng)研究使用五級(jí)QDA方法,提供了一個(gè)新的方法,旨在解決文獻(xiàn)綜述在語(yǔ)言、方法、概...

【文章頁(yè)數(shù)】：189 頁(yè)

【文章目錄】：
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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