论文标题
部分可观测时空混沌系统的无模型预测
Quantifying Political Bias in News Articles
论文作者
论文摘要
近年来，由于搜索结果可能会影响这项工作，我们旨在建立一个自动化模型来评估在线新闻文章中的意识形态偏见，因此近年来搜索偏见分析受到了更多关注。该数据集由搜索结果和报纸文章中的新闻文章组成。当前的自动模型结果表明，模型功能不足以利用自动注释文档，从而计算搜索结果中的偏差。
Search bias analysis is getting more attention in recent years since search results could affect In this work, we aim to establish an automated model for evaluating ideological bias in online news articles. The dataset is composed of news articles in search results as well as the newspaper articles. The current automated model results show that model capability is not sufficient to be exploited for annotating the documents automatically, thereby computing bias in search results.
