在线道德偏差:对数字行为进行综合性审查
Xu Chen1, Norzihani Saharuddin1, Maizura Yasin1
1Faculty of Educational Studies, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
Frontiers in psychology
|August 8, 2025
概括
这项研究对在线偏差行为进行了分类,开发了在线道德偏差的概念模型. 它有助于识别和预防有害的数字行为,促进更健康的在线行为.
科学领域:
- 数字伦理 数字伦理
- 网络心理学 网络心理学
- 技术社会学技术的社会学.
背景情况:
- 现有的网络偏差研究缺乏基于伤害和道德违规行为的系统分类.
- 之前的研究广泛地定义了在线偏差行为,没有道德框架.
研究的目的:
- 系统地识别和分类违反主流道德期望的在线偏离行为.
- 开发一个在线道德偏差的概念模型.
- 为防止和解决数字不当行为提供见解.
主要方法:
- 综合性文献评论科学网络 (2020-2024) 和谷歌学者.
- 分析了190篇选定的文章,包括最近和代表性研究.
- 基于关键字的搜索使用核心,组合和相关术语.
主要成果:
- 在道德框架内对在线偏差行为进行系统的分类.
- 在线道德偏差的概念模型的开发.
- 强调文化,地区和社会背景差异.
结论:
- 该概念模型为识别和防止在线道德偏差提供了实际见解.
- 建议在未来对理论基础进行研究,并完善概念界限.
- 推进网络偏差研究,并支持为健康的在线行为提供道德教育.
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