BriefGPT.xyz
Oct, 2020
在不同粒度上分析新闻文章中的政治偏见和不公平性
Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
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Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth, Benno Stein
TL;DR
本研究利用一个新的、基于6964篇新闻文章的辅助指标标签的语料库，开发了一种神经模型对新闻文章中的政治偏见和不公平进行分析，并从单词到整篇文章的不同层次的文本粒度发现了深刻的偏见模式。
Abstract
media organizations
bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society. Any form of media can contain overly
biased content
, e.g., by reporting on
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