We investigated the expressions of happiness and sadness in adolescents’ direct messages (DMs) on Instagram. Using neural topic modeling ( BERTopic), we analyzed 211,778 DMs belonging to 96 adolescents, who donated data from 101 Instagram accounts. Results showed that (1) expressions of happiness were more than four times more prevalent than expressions of sadness; (2) the number of DMs containing expressions of happiness and expressions of sadness were highly correlated; (3) there are temporal trends in the expression of happiness and sadness in adolescents’ DMs, and there are individual differences in these trends; and (4) there is no significant between- or within-person relationship between the number of DMs containing expressions of happiness and sadness and adolescents’ well-being.

中文翻译：

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青少年 Instagram 直接消息传递中的快乐和悲伤：神经主题建模方法

我们调查了青少年在 Instagram 上的私信 (DM) 中表达的快乐和悲伤。我们使用神经主题模型 (BERTopic) 分析了属于 96 名青少年的 211,778 名 DM，他们从 101 个 Instagram 账户捐赠了数据。结果显示：（1）表达快乐的频率是表达悲伤的频率的四倍多；（2）包含快乐表达和悲伤表达的DM数量高度相关；(3)青少年DM的快乐和悲伤表达存在时间趋势，且这些趋势存在个体差异；(4) 包含快乐和悲伤表达的 DM 数量与青少年的幸福感之间不存在显着的人际或人内关系。