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題名 從演算法兔子洞效應探討青少年強迫性社群媒體使用
Can’t Stop Scrolling? The Role of the Algorithmic Rabbit Hole Effect in Youth Compulsive Social Media Use作者 陳俐安
Chen, Li-An貢獻者 李怡慧
Lee, Yi-Hui
陳俐安
Chen, Li-An關鍵詞 資訊遺漏恐懼
推薦演算法
兔子洞效應
強迫性社群媒體使用
青少年
FoMO
Recommendation Algorithms
Rabbit Hole Effect
Compulsive Social Media Use
Youth日期 2025 上傳時間 1-Sep-2025 15:05:07 (UTC+8) 摘要 資訊遺漏恐懼(FoMO)是驅使青少年頻繁使用社群媒體的關鍵因素之一。隨著演算法驅動平台的興起，系統可能推送符合使用者興趣的內容，進一步導致其陷入無止盡的瀏覽與點擊，進而陷入所謂的「兔子洞效應」。本研究探討 FoMO 如何透過演算法推薦與兔子洞效應的中介機制，影響青少年的強迫性社群媒體使用行為，並聚焦於三種 常見的推薦演算法機制:熱門導向推薦、內容導向推薦，以及協同過濾導向推薦。透過對 312 位年齡介於 18 至 24 歲之參與者進行量化問卷調查，以檢驗不同演算法類型如何形塑使用者行為。結果顯示，不同類型的演算法推薦展現出差異化的影響途徑;其中，僅有熱門導向的推薦類型支持通過兔子洞效應的序列中介效果。本研究深化了對演算法驅動下使用行為機制的理解，並為平台設計、使用者意識提升與政策制定提供實務啟示，以促進青少年更健康的社群媒體使用。
FoMO is a key factor driving youths’ social media use. As algorithm-driven platforms rise, algorithms may push content that aligns with users’ interests, leading them to endless scrolling and the ”rabbit hole”. This study explores how FoMO influences youths’ compulsive social media use through the mediating roles of algorithmic recommendations and the rabbit hole effect. It focuses on three types of recommendation algorithms: popularity-based, content-based, and collaborative filtering-based. A quantitative survey of 312 participants aged 18-24 was conducted to examine how these algorithms shape user behavior. Results show that different types of algorithmic exposure exhibit differentiated pathways; notably, the sequential mediation path through the rabbit hole effect was supported only for popularity-based recommendations. This study enhances understanding of algorithm-induced behavioral patterns and offers implications for platform design, user awareness, and policy framework, to foster healthier social media engagement.參考文獻 [1] Abel, J. P., Buff, C. L., & Burr, S. A. (2016). Social media and the fear of missing out: Scale development and assessment. Journal of Business & Economics Research, 14(1). [2] Aladwani, A. M., & Almarzouq, M. (2016). Understanding compulsive social media use: The premise of complementing self-conceptions mismatch with technology. Computers in Human Behavior, 60, 575–581. [3] Ali, F., Ali, A., Iqbal, A., & Zafar, A. U. (2021). How socially anxious people become compulsive social media users: The role of fear of negative evaluation and rejection. Telematics and Informatics, 63, 101658. [4] Ali, F., Tauni, M. Z., Ashfaq, M., Zhang, Q., & Ahsan, T. (2024). Depressive mood and compulsive social media usage: The mediating roles of contingent self-esteem and social interaction fears. 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國立政治大學
資訊管理學系
112356032資料來源 http://thesis.lib.nccu.edu.tw/record/#G0112356032 資料類型 thesis dc.contributor.advisor 李怡慧 zh_TW dc.contributor.advisor Lee, Yi-Hui en_US dc.contributor.author (Authors) 陳俐安 zh_TW dc.contributor.author (Authors) Chen, Li-An en_US dc.creator (作者) 陳俐安 zh_TW dc.creator (作者) Chen, Li-An en_US dc.date (日期) 2025 en_US dc.date.accessioned 1-Sep-2025 15:05:07 (UTC+8) - dc.date.available 1-Sep-2025 15:05:07 (UTC+8) - dc.date.issued (上傳時間) 1-Sep-2025 15:05:07 (UTC+8) - dc.identifier (Other Identifiers) G0112356032 en_US dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/159095 - dc.description (描述) 碩士 zh_TW dc.description (描述) 國立政治大學 zh_TW dc.description (描述) 資訊管理學系 zh_TW dc.description (描述) 112356032 zh_TW dc.description.abstract (摘要) 資訊遺漏恐懼(FoMO)是驅使青少年頻繁使用社群媒體的關鍵因素之一。隨著演算法驅動平台的興起，系統可能推送符合使用者興趣的內容，進一步導致其陷入無止盡的瀏覽與點擊，進而陷入所謂的「兔子洞效應」。本研究探討 FoMO 如何透過演算法推薦與兔子洞效應的中介機制，影響青少年的強迫性社群媒體使用行為，並聚焦於三種 常見的推薦演算法機制:熱門導向推薦、內容導向推薦，以及協同過濾導向推薦。透過對 312 位年齡介於 18 至 24 歲之參與者進行量化問卷調查，以檢驗不同演算法類型如何形塑使用者行為。結果顯示，不同類型的演算法推薦展現出差異化的影響途徑;其中，僅有熱門導向的推薦類型支持通過兔子洞效應的序列中介效果。本研究深化了對演算法驅動下使用行為機制的理解，並為平台設計、使用者意識提升與政策制定提供實務啟示，以促進青少年更健康的社群媒體使用。 zh_TW dc.description.abstract (摘要) FoMO is a key factor driving youths’ social media use. As algorithm-driven platforms rise, algorithms may push content that aligns with users’ interests, leading them to endless scrolling and the ”rabbit hole”. This study explores how FoMO influences youths’ compulsive social media use through the mediating roles of algorithmic recommendations and the rabbit hole effect. It focuses on three types of recommendation algorithms: popularity-based, content-based, and collaborative filtering-based. A quantitative survey of 312 participants aged 18-24 was conducted to examine how these algorithms shape user behavior. Results show that different types of algorithmic exposure exhibit differentiated pathways; notably, the sequential mediation path through the rabbit hole effect was supported only for popularity-based recommendations. This study enhances understanding of algorithm-induced behavioral patterns and offers implications for platform design, user awareness, and policy framework, to foster healthier social media engagement. en_US dc.description.tableofcontents Acknowledgements i 摘要 iii Abstract iv Contents v List of Figures viii List of Tables ix 1 Introduction 1 1.1 Research Background and Motivation 1 1.2 Research Objectives 4 1.3 Research Questions 5 2 Literature Review 6 2.1 Fear of Missing Out(FoMO) 6 2.2 Exposure to Algorithmic Content 9 2.3 The Role of the Rabbit Hole Effect 10 2.4 Compulsive Social Media Use 12 3 Methodology 15 3.1 Research Framework and Hypotheses 15 3.1.1 Main Effects 17 3.1.2 Mediating Effects 19 3.2 Research Procedure 20 3.3 Research Participants 21 3.4 Research Measures 22 3.4.1 Demographic Information of Respondents 22 3.4.2 FoMO 22 3.4.3 Exposure to Popularity-based Algorithmic Content 23 3.4.4 Exposure to Content-based Algorithmic Content 23 3.4.5 Exposure to Collaborative Filtering-based Algorithmic Content 24 3.4.6 The Rabbit Hole Effect 25 3.4.7 Compulsive Social Media Use 26 3.5 Data Collection 27 4 Results 28 4.1 Data Description and Preparation 28 4.2 Data Analysis 30 4.2.1 Descriptive Statistics 30 4.2.2 One-Way ANOVA 33 4.2.3 Correlation Analysis 35 4.2.4 Hierarchical Regression 36 4.2.5 Mediation Analysis 38 5 Discussions and Conclusions 42 5.1 Findings 42 5.2 Summary 45 5.3 Implications 46 5.3.1 Theoretical Implications 46 5.3.2 Practical Implications 46 5.4 Limitations and Future Research 47 References 48 Appendix A: Questionarre (Chinese Version) 59 Appendix B: Questionarre Items (English Version) 64 zh_TW dc.format.extent 1042699 bytes - dc.format.mimetype application/pdf - dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0112356032 en_US dc.subject (關鍵詞) 資訊遺漏恐懼 zh_TW dc.subject (關鍵詞) 推薦演算法 zh_TW dc.subject (關鍵詞) 兔子洞效應 zh_TW dc.subject (關鍵詞) 強迫性社群媒體使用 zh_TW dc.subject (關鍵詞) 青少年 zh_TW dc.subject (關鍵詞) FoMO en_US dc.subject (關鍵詞) Recommendation Algorithms en_US dc.subject (關鍵詞) Rabbit Hole Effect en_US dc.subject (關鍵詞) Compulsive Social Media Use en_US dc.subject (關鍵詞) Youth en_US dc.title (題名) 從演算法兔子洞效應探討青少年強迫性社群媒體使用 zh_TW dc.title (題名) Can’t Stop Scrolling? The Role of the Algorithmic Rabbit Hole Effect in Youth Compulsive Social Media Use en_US dc.type (資料類型) thesis en_US dc.relation.reference (參考文獻) [1] Abel, J. P., Buff, C. L., & Burr, S. A. (2016). Social media and the fear of missing out: Scale development and assessment. Journal of Business & Economics Research, 14(1). [2] Aladwani, A. M., & Almarzouq, M. (2016). Understanding compulsive social media use: The premise of complementing self-conceptions mismatch with technology. Computers in Human Behavior, 60, 575–581. [3] Ali, F., Ali, A., Iqbal, A., & Zafar, A. U. (2021). How socially anxious people become compulsive social media users: The role of fear of negative evaluation and rejection. Telematics and Informatics, 63, 101658. [4] Ali, F., Tauni, M. Z., Ashfaq, M., Zhang, Q., & Ahsan, T. (2024). Depressive mood and compulsive social media usage: The mediating roles of contingent self-esteem and social interaction fears. Information Technology & People, 37(3), 1052–1072. 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