Detecting and understanding moral biases in news
Usman Shahid, Barbara Di Eugenio, Andrew Rojecki, Elena Zheleva · 2020
We describe work in progress on detecting and understanding the moral biases of news sources by combining framing theory with natural language processing.First we draw connections between issue-specific frames and moral frames that apply to all issues.Then we analyze the connection between moral frame presence and news source political leaning.We develop and test a simple classification model for detecting the presence of a moral frame, highlighting the need for more sophisticated models.We also discuss some of the annotation and frame detection challenges that can inform future research in this area.