01/07/2020

Detecting and understanding moral biases in news

Usman Shahid, Barbara Di Eugenio, Andrew Rojecki, Elena Zheleva

Keywords:

Abstract: 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.

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