信息诊断系统设计思路: 人工核查、广众参与和人工智能的三合一运用

Translated title of the contribution: Theorizing an Information Diagnosis System: The hybrid uses of manual fact-checking, crowdsourcing and artificial intelligence

曾姿颖, 黄煜, 张引, 宋韵雅, 周琳

Research output: Contribution to journalArticlepeer-review

Abstract

当前对虚假新闻治理的研究较少出于技术逻辑的思路。真假新闻的界限在实践中通常微妙以及难以辨别,加上人们对真假新闻往往有着不同的见解和解读。本文基于来自香港的实证数据分析以及本地虚假新闻核查平台的初步实践经验,提出"人工核查—广众参与—人工智能"的协同核查模式,以最大限度优化社交平台虚假新闻的治理效果。
Translated title of the contributionTheorizing an Information Diagnosis System: The hybrid uses of manual fact-checking, crowdsourcing and artificial intelligence
Original languageChinese (Simplified)
Pages (from-to)35-62
Number of pages28
Journal全球传媒学刊
Volume8
Issue number1
DOIs
Publication statusPublished - 2021

User-Defined Keywords

  • 虚假新闻
  • 信息诊断
  • 人工智能
  • 事实核查
  • Misinformation
  • Information Diagnosis
  • Artificial intelligence
  • Fact-checking

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