文章探讨了通过结合人工智能与人类参与（Human-in-the-Loop）的方法改进媒体偏见检测的技术。研究指出，这种混合方法能提高检测准确性，并通过众包标注和颜色编码偏见警告进一步优化分析流程。 2025-12-2 22:19:24 Author: hackernoon.com(查看原文) 阅读量:2 收藏
New Story
by We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias.
byTech Media Bias [Research Publication]@mediabias
December 2nd, 2025
Audio Presented by
Speed
Voice
byTech Media Bias [Research Publication]@mediabias
byTech Media Bias [Research Publication]@mediabias
We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias.
Story's Credibility
![Tech Media Bias [Research Publication]](https://hackernoon.imgix.net/images/frRB2u5KPDWNFTREWk4zW42RJ5w1-su831oj.jpeg?auto=format&fit=max&w=96)
byTech Media Bias [Research Publication]@mediabias
We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias.
Story's Credibility
← Previous
EU Slams Meta and TikTok Over Data Transparency Breaches Under the Digital Services Act
Up Next →
Human-in-the-Loop Models Could Improve Media Bias Detection, Study Finds
About Author
![Tech Media Bias [Research Publication] HackerNoon profile picture](https://hackernoon.imgix.net/images/frRB2u5KPDWNFTREWk4zW42RJ5w1-su831oj.jpeg?auto=format&fit=max&w=3840)
We publish deeply researched (and often vastly underread) academic papers about our collective omnipresent media bias.
Comments
TOPICS
Related Stories
如有侵权请联系:admin#unsafe.sh