毒性消毒使得网络空间的规则破坏者变得通用:通过探索性图形分析和结构方程建模来绘制在线偏差
Helena Sophia Schmitt1, Cornelia Sindermann2, Christian Montag3
1Department of Personality Psychology, Institute of Psychology and Education, Ulm University, 89081, Ulm, Germany.
Acta psychologica
|September 26, 2025
概括
网络欺凌,鱼和网络欺诈等在线变态行为经常同时发生. 毒性在线消毒抑制强烈预测这种综合征,表明需要综合预防策略.
科学领域:
- 心理学 心理学 心理学
- 犯罪学 犯罪学
- 社会学 社会学 社会学
背景情况:
- 在线偏差行为越来越多,造成重大伤害.
- 以前的研究表明,这些行为可能形成综合征.
- 了解共发生和预测因素对于干预至关重要.
研究的目的:
- 探索网络欺凌,鱼和网络欺诈的同时发生.
- 调查在线解禁作为预测者的作用.
- 确定潜在的网络偏离的综合预防战略.
主要方法:
- 使用探索性图形分析 (EGA) 和结构方程建模 (SEM).
- 分析了来自大量成年人样本 (N=1321) 的横截面数据.
- 采用唯一变量分析来改进EGA的项目集.
主要成果:
- 欧洲网络欺诈局 (EGA) 揭示了一种单一的网络结构,用于网络欺凌,鱼和网络欺诈.
- SEM证实了这些行为汇聚到一个单一的更高阶潜伏因子上.
- 毒性在线消毒预测了这个因素中超过60%的变异.
结论:
- 偏差在线行为是相互关联的,可能代表一个统一的综合征.
- 毒性在线消毒抑制是这种综合征的重要预测因素.
- 建议采用针对多种网络偏差行为的综合预防策略.
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