Emptiness has become a serious public health problem and is closely linked to suicidal behavior. Existential emptiness may be an emerging mental health challenge faced by contemporary young people due to social factors such as involution.

To explore the psychological state of young people's existential emptiness and their coping behaviors in new media suicide notes by using artificial intelligence-assisted content analysis.

By data mining suicide notes reported in new media (WeChat, Weibo, and Xiaohongshu) from January, 2013 to December, 2023, 31 suicide notes from young individuals aged≤24 were included. The analysis of the collected texts of suicide notes was conducted using the DiVoMiner® text big data mining and analysis platform. A method of machine-assisted manual coding is employed to construct the category system, and the reliability among coders is evaluated using the Holsti formula, with the Holsti coefficient serving as the reliability of the category system. Semantic network analysis and correlation analysis were used to conduct an in-depth analysis of the vocabulary and themes of the contents of the suicide notes.

This study identified 35 secondary categories through keyword coding, further refined into 5 primary categories, with intercoder reliability ranging from Holsti's coefficient 0.85 to 0.93, and a composite reliability of 0.90 for the category system. The semantic network analysis revealed complex structural relationships among the text contents. The results showed that keywords such as "father" "mother" "hope" "life" and "world" ppeared with high frequency and occupied central positions in the network. Correlation analysis showed a significant positive correlation between psychological distress and a lack of sense of meaning in life (r_s=0.540), a lack of identity and sense of belonging (r_s=0.420), and negative coping behaviors (r_s=0.505). Additionally, a lack of meaning in life was positively correlated with important social relationship breakdowns (r_s=0.384) and negative coping behaviors (r_s=0.531) (P<0.05).

The main manifestations of existential emptiness in the context of youth suicide include deep disturbances about the meaning of life, complex emotions such as despair generated in the process of pursuing the meaning of life, contradictory feelings about the meaning of life and intimate relationships, and a strong desire for social connection. Young people often adopt negative methods such as self-disguise, alienation from others, self-harm, and suicide. The findings underscore the critical need for targeted, empathetic suicide prevention strategies that address the core psychosocial dilemmas and unmet needs of suicidal youth, including early identification of existential emptiness, strengthening social connections especially those with fathers, and facilitating meaning-making.

空虚已演变成一项严峻的公共卫生挑战，与自杀行为紧密相连。在内卷等社会现象的影响下，当代年轻人可能正面临一种新兴的精神健康危机-存在感空虚。

本研究旨在利用人工智能辅助内容分析，探索新媒体遗书中年轻人存在感空虚的心理状态及其应对行为。

回顾2013年1月—2023年12月新媒体（微信公众号、微博及小红书）上报道的≤24岁年轻人自杀遗书，共收集了31份遗书作为研究样本。采用DiVoMiner^®文本大数据挖掘与分析平台对所收集的遗书文本进行分析，采用机器辅助人工编码的方法来构建类目系统，应用霍尔斯公式对编码者间的可靠性进行评估，并以霍尔斯系数为类目体系的信度。并通过语义网络分析和相关性分析，深入探讨了遗书内容中的词汇使用和主题表达。

本研究关键词编码为35个二级类目，并进一步将其凝练为5个一级类目，其编码间的可靠性范围为霍尔斯系数0.85~0.93，类目体系的复合信度为霍尔斯系数0.90。从语义网络分析中揭示了文本内容间的复杂结构关系，结果显示"爸爸""妈妈""希望""生活"和"世界"等关键词出现频次较高，并在网络中占据核心位置。相关性分析显示，心理困扰与生活意义感缺失（r_s=0.540）、身份与归属感缺失（r_s=0.420）、重要社会关系断裂（r_s=0.364），负向应对行为（r_s=0.505）呈正相关（P<0.05）；生活意义感缺失与重要社会关系断裂（r_s=0.384）、负向应对行为（r_s=0.531）呈正相关（P<0.05）。

年轻人自杀背景下的存在感空虚主要表现，包括对生活意义的深度困扰、追求生命意义过程中产生的绝望等复杂情绪、对生命意义和亲密关系的矛盾情感，以及对社会联结的强烈渴望。而在应对空虚感的过程中，年轻人常采取伪装自我、疏离他人、自残自杀等消极方式。研究结果强调，亟需制定有针对性、富有同理心的自杀预防策略，以解决有自杀倾向的年轻人的核心社会心理困境和未满足的需求，包括早期识别存在感空虚、加强家庭社会关系特别是与父亲的关系及促进生命意义的建构。