倡导以社区为中心的模式来应对潜在的信息危害
1Department of Communication, Cornell University, Ithaca, NY, USA. cw736@cornell.edu.
Nature human behaviour
|June 16, 2025
概括
检测在线伤害,如仇恨言论和错误信息,需要整合线下和在线数据. 一个新的以社区为中心的系统,灵感来自于流行病学监测,为有效的检测和缓解提供了一个蓝图.
科学领域:
- 信息科学 信息科学 信息科学
- 公共卫生监督 公共卫生监督
- 沟通研究 沟通研究
背景情况:
- 当代信息生态系统包含危险的言论 (仇恨言论,错误信息) 和结构性障碍 (支付墙).
- 算法定位和其他负担能力可以加剧这些生态系统中的危害.
- 目前的"社会倾听"方法不足以有效地检测和减轻这些危害.
研究的目的:
- 提出一种用于检测和减轻信息损害的新系统.
- 解决当前社会倾听方法的局限性.
- 促进社区参与解决与信息相关的问题.
主要方法:
- 概述一个以社区为中心的勘探,参与和评估 (CEEE) 系统的蓝图.
- 与综合流行病监测系统进行并行研究.
- 整合线下和在线数据流进行全面分析.
主要成果:
- 拟议的CEEE系统整合了多个数据流,以进行可靠的损害检测.
- 社区参与是CEEE模型的设计和响应机制的核心.
- 该系统旨在增强对公共卫生,选举诚信和气候信息等领域的信任.
结论:
- 目前用于识别在线伤害的现有方法是不充分的.
- 为了有效地减轻信息危害,需要采用集成的,社区驱动的方法.
- CEEE系统提供了一个可扩展的模型,用于建立信任并应对数字时代的社会挑战.
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