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Creators/Authors contains: "Rojecki, Andrew"

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  1. ; ; ; ; ; ; ; ; ( , Proceedings of 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA))
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  2. ; ; ; ( , Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events)
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    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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