近年來因網路越來越發達智慧型手機幾乎人手一機，社群媒體使用使人與人之間的互動越來越沒有距離與時間的限制，根據臺灣網路調查報告顯示民眾社群媒體使用方面，通訊軟體使用率高達 95.6%，代社群媒體使用的時間會越來越長，但憂鬱傾向卻是越來越多，社群媒體使用是否影響著憂鬱傾向。
本研究旨在了解在台灣，社群媒體使用、憂鬱傾向、生活滿意度、心理幸福感之間的關係，並探討生活滿意度與心理幸福感在社會互動與憂鬱傾向間的中介效果。本研究使用「台灣傳播調查資料庫」釋出之「第二期第三次」作為分析樣本，經篩選後研究樣本共1442筆。透過SPSS 皮爾森積差相關分析與Haye’s PROCESS 的中介模型檢定，研究結果如下：
一、「社群媒體使用」、「憂鬱傾向」兩變項間呈正相關；「社群媒體使用」、「生活滿意度」、「心理幸福感」三變項間呈負相關；「生活滿意度」、「心理幸福感」、「憂鬱傾向」三變項間呈負相關。
二、「生活滿意度」、「心理幸福感」皆在「社群媒體使用」與「憂鬱傾向」間扮演中介的角色。
最後本研究根據資料分析結果提出實務與未來研究上的建議。
In recent years, with the increasing development of the Internet, almost everyone owns a smartphone, and the use of social media has made interaction between people increasingly distance- and time-independent. According to a report from the Internet survey in Taiwan, the usage rate of communication software in social media among the public reaches as high as 95.6%. Consequently, the time spent on social media is getting longer, but the tendency towards depression is also increasing. The question arises as to whether the use of social media affects the inclination towards depression.
The purpose of this study is to investigate the relationship between social media usage, depressive tendencies, life satisfaction, and psychological well-being in Taiwan. Additionally, it aims to explore the mediating effects of life satisfaction and psychological well-being in the relationship between social media usage and depressive tendencies. The study utilized the "Taiwan Communication Survey Database" from the "Second Phase, Third Wave" as the analytical sample, resulting in a final sample of 1442 cases after screening. The research findings, analyzed using Pearson correlation analysis in SPSS and the mediation model test using Hayes' PROCESS, are as follows:
1. There are positive correlations between " social media usage " and "depressive tendencies."; " social media usage " and "life satisfaction," "psychological well-being." are negative correlations ; "life satisfaction" and "psychological well-being," "depressive tendencies." are negative correlations.
2. The results indicate that both "life satisfaction" and "psychological well-being" mediate the relationship between " social media usage " and "depressive tendencies."
Finally, this study puts forward practical and future research suggestions based on the data analysis results.
