社交媒体中的正面和负面情绪 直接消息 预测青少年的负面情绪差异化
Shedrick L Garrett1, Michelle Shipkova1, Mitchell J Prinstein1
1Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill, 235 E. Cameron Ave, Chapel Hill, NC 27599 USA.
Affective science
|July 3, 2025
概括
熟练区分负面情绪的青少年在日常社交媒体信息中也使用了更多的积极和负面语言. 这表明,更大的情感差异化与日常生活中更广泛的情感表达有关.
科学领域:
- 心理学 心理学 心理学
- 语言学的语言学.
- 社交媒体研究 社交媒体研究
背景情况:
- 消极情绪分化,即能够区分特定的消极情绪,对于有效的情绪调节和适应性情绪功能至关重要.
- 了解内部情绪体验和外部情绪表达之间的联系对于青少年的心理健康至关重要.
研究的目的:
- 调查青少年负面情绪差异化与他们日常社交媒体交流中使用的语言的情感情感之间的关系.
- 探索直接信息中的语言情感标记如何与个体对微妙情感体验的能力有关.
主要方法:
- 用生态瞬间评估 (EMA) 来收集53名青少年在两周内自我报告的负面情绪.
- 情感分析 (VADER) 应用于超过94,000条来自Instagram的直接消息,以量化积极,消极和中立的语言.
- 根据EMA数据计算负情绪差异化,并分析其与信息情绪的相关性.
主要成果:
- 呈现较高负面情绪分化水平的青少年表现出更高比例的积极和消极的价值信息.
- 在消极情绪识别的特异性和在线表达的情绪语言的广度之间发现了显著的关联.
结论:
- 这些发现支持这样一个假设:具有更大的负面情绪分化能力的个体往往会在日常互动中体验和表达更广泛的情绪谱.
- 这项研究强调了分析社交媒体语言的实用性,作为理解青少年复杂情绪过程的代理.
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