Quantifying Political Bias in News Articles
This work addresses the issue of quantifying political bias in news for researchers and policymakers, but it is incremental as it highlights limitations rather than achieving a breakthrough.
The authors tackled the problem of automatically evaluating ideological bias in online news articles, but found that their model's capability was insufficient for annotating documents automatically and computing bias in search results.
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.