近年大專生自殺事件頻傳，然而經調查發現自殺防治在實務執行層面上仍存在許多困境，例如校內的輔導資源無暇因應、家庭狀況難以介入改變、轉銜未能有效連結資源等，從而使研究者思考是否有更多方式協助一線心理衛生輔導人員有效地檢傷。文獻發現當有自殺風險個體透過部落格抒發情緒時會透露出具自殺意念的訊息，國外也有許多透過語意分析了解文章內容的研究，從而啟發研究者想了解從網路文章偵測個體自殺危機程度是否可行。
本研究樣本以網路社群媒體Dcard的心情版中2018年之2220篇心情文章為研究標的，探討透過分析網路心情文章是否能夠作為偵測大專院校生的自殺危機程度之方法，以及「無望感」、「創傷經驗」、「受霸凌經驗」、「無能累贅感」和「受挫的歸屬感」等各項變數對於文章作者自殺危機程度之影響。以「自殺危機程度」作為被解釋變數，並以「無望感」、「創傷經驗」、「受霸凌經驗」、「無能累贅感」和「受挫的歸屬感」此五個作為解釋變數，並進行百分比同質性檢定與羅吉斯回歸分析。
研究結果顯示「無望感」、「創傷經驗」、「受霸凌經驗」、「無能累贅感」和「受挫的歸屬感」四項變數都對自殺危機程度具有顯著正相關，而「創傷經驗」、「無能累贅感」、「無望感」、「受挫的歸屬感」四個自變項形成的回歸模型能夠區別無自殺風險與輕度自殺風險，「創傷經驗」、「受霸凌經驗」、「無望感」、「受挫的歸屬感」四個自變項形成的回歸模型則可以區別輕度自殺風險與高度自殺風險，當文章中偵測到與越多變項相關時，文章作者的自殺危機程度就越高。
研究發現個體文章的內容分析能夠作為偵測自殺危機程度的有效策略，未來若能透過人工AI主動偵測網路文章的作者之自殺風險，並進一步推送相關的自殺防治訊息與求助管道，則可以作為提升自殺防治的效率與觸及性之手段，可協助心理衛生相關助人工作者去找到潛在需要幫助的人們。

In recent years, college students committing suicide has become frequently, however, investments had found out that there were lots of obstacles in the practice of suicide prevention. This made. researcher consider whether there are more ways to assist front-line mental health counselors to triage effectively.
Literatures had shown that people with suicide risk would express their emotions and reveal suicidal ideation through blogs, there are also studies using semantic analysis to explore the contents of articles, which inspire researcher to find out if it is possible to detect college students’ degree of suicide risk from online articles.
The purpose of this study is to invest whether the analysis of online emotional articles can be used as a method to detect the degree of suicide crisis among college students, and to know the impacts of variables towards the degree of suicide risk, such as hopelessness, the experience of maltreatment, the experience of bully, perceived burdensomeness and thwarted belonging. The samples are 2220 emotional articles on the mood board of social media Dcard, the research methods are the test of homogeneity proportions and Logistic regression analysis.
Results showed that five variables all significantly related to the and could predict degree of suicide risk. Furthermore, hopelessness, the experience of maltreatment, perceived burdensomeness and thwarted belonging can discriminate no suicidal risk and low suicidal risk; hopelessness, the experience of maltreatment, the experience of bully and thwarted belonging can discriminate low suicidal risk and high suicidal risk;. When more variables are detected in the article, the degree of suicidal risk of the author of the article is higher.
The study found out that content analysis of articles can be used as an effective strategy to predict the degree of suicide risk. It can be used as a mean to improve the efficiency of suicide prevention and can assist mental health counselors to find people who are potentially in need.

中文摘要 i
Abstract ii
致謝辭 iii
表目錄 vi
圖目錄 viii
第一章 緒論 1
第一節 研究動機 1
第二節 研究目的 5
第三節 研究問題 5
第四節 名詞釋義 5
第二章 文獻探討 8
第一節 大專院校生的自殺研究 8
第二節 自殺意念內涵及其相關研究 9
第三節 無望感內涵及其相關研究 12
第四節 創傷經驗內涵及其相關研究 13
第五節 受霸凌經驗內涵及其相關研究 14
第六節 無能累贅感與受挫的歸屬感內涵及其相關研究 15
第七節 研究假設 16
第三章 研究方法 17
第一節 內容分析法之概述 17
第二節 研究架構 18
第三節 研究流程 18
第四節 研究倫理 21
第四章 研究結果 23
第五章 研究結論與建議 36
第一節 研究討論 36
第二節 研究限制與建議 38
參考文獻 40
附錄 48
附錄一、簡易審查結果通知書 48

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