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研究生: 劉修維
Liu, Hsiu-Wei
論文名稱: 社群媒體劇透的雙構面分析框架:涉入程度與 SMILE 模型
A Dual-Lens Framework of Involvement and SMILE Model for Spoilers on Social Media
指導教授: 周致遠
Chih-Yuan Chou
口試委員: 歐素華
Ou, Sue Hwa
曾筱珽
Hsiao-Ting Tseng
學位類別: 碩士
Master
系所名稱: 商學院 - 資訊管理學系
Department of Management Information System
論文出版年: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 104
中文關鍵詞: 劇透社群媒體涉入程度社群媒體素養SMILE 模型
外文關鍵詞: Spoiler, Social Media, Involvement, Social Media Literacy, SMILE Model
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  • 社群媒體上的劇透是一種社會技術事件,由使用者的個人涉入度、媒體形式、劇透時效性與平台互動動態共同形塑。本研究整合涉入理論與 SMILE 模型,旨在解釋使用者如何感知劇透並產生認知與情感反應。研究採用實驗設計,檢視個人涉入度、媒體形式與劇透時效性對劇透敏感度、劇透嚴重性、控制感及情感取向的影響;並透過開放式回應進一步探索使用者對劇透暴露、防劇透工具與平台責任的詮釋觀點。藉由結合動機與認知觀點,本研究將劇透重新概念化為一種認知—情感歷程,而非僅是固定的內容屬性,期能為社群平台上的情境感知防劇透機制提供理論洞見與實務指引。


    Spoilers on social media are socio-technical events shaped by users’ personal involvement, media form, spoiler timeliness, and platform interaction dynamics. This study integrates involvement theory with the SMILE model to explain how users perceive spoilers and generate cognitive and affective responses. An experimental design examines the effects of personal involvement, media form, and spoiler timeliness on spoiler sensitivity, spoiler severity, sense of control, and affective orientation to spoiler. Open-ended responses further explore users’ interpretations of spoiler exposure, anti-spoiler tools, and platform responsibility. By combining motivational and cognitive perspectives, the study reconceptualizes spoilers as cognitive–affective processes rather than fixed content properties, offering theoretical insights and practical guidance for context-aware anti-spoiler mechanisms on social platforms.

    CHAPTER 1 INTRODUCTION 1
    CHAPTER 2 CONCEPTUAL BACKGROUND 7
    2.1 PLATFORM ACCOUNTABILITY AND USER IMMEDIACY 7
    2.2 INVOLVEMENT AND SOCIAL MEDIA LITERACY 12
    2.2.1 Involvement Theory 12
    2.2.2 SMILE Theory 15
    2.3 CONCEPTUAL FRAMEWORK 19
    2.3.1 Research Model 19
    2.3.2 Hypothesis Development 21
    CHAPTER 3 RESEARCH METHODOLOGY 30
    3.1 DATA COLLECTION 31
    3.1.1 Sample Size and Recruitment 31
    3.1.2 Quantitative phase: online experiment 34
    3.1.3 Experimental Procedure and Simulated Platform 37
    3.1.4 Measures 43
    3.1.5 Qualitative phase: open-ended questionnaire responses 45
    3.2 DATA ANALYSIS 47
    CHAPTER 4 RESEARCH RESULTS 51
    4.1. SAMPLE CHARACTERISTICS AND BASELINE CHECKS 51
    4.2. MEASUREMENT RELIABILITY 53
    4.3. SELF-REPORTED SPOILER RESPONSES: LINEAR MIXED-EFFECTS MODEL RESULTS 55
    4.4. BEHAVIORAL RESPONSES IN THE SIMULATED PLATFORM 66
    4.5 QUALITATIVE INSIGHTS FROM OPEN-ENDED RESPONSES 69
    4.5.1 Thematic Patterns Across Open-Ended Responses 69
    4.5.2 Representative Participant Reflections 71
    CHAPTER 5 DISCUSSION 75
    5.1 INTERPRETATION OF PRINCIPAL FINDINGS 75
    5.1.1 Timeliness as the Strongest and Most Consistent Predictor of Spoiler Responses 75
    5.1.2 Personal Involvement as an Affective Rather Than Cognitive Amplifier 76
    5.1.3 Media Form as a Limited but Meaningful Predictor of Affective Orientation to Spoiler 77
    5.1.4 Behavioral Evidence of Time-Sensitive Anti-Spoiler Tool Use 78
    5.1.5 Platform Trust, User Control, and Social Norms in Spoiler Management 79
    5.1.6 Explaining the Limited Effects of Personal Involvement and Media Form 80
    5.2 RESEARCH CONTRIBUTIONS 84
    5.2.1 Theoretical Contributions 84
    5.2.2 Practical Contributions 86
    5.3 LIMITATIONS AND FUTURE DIRECTIONS 89
    CHAPTER 6 CONCLUSION 92
    REFERENCES 93

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