Papers by Maria Mestre

1 papers
Discovering Biased News Articles Leveraging Multiple Human Annotations (2020.lrec-1)

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Challenge: Political propaganda and one-sided views can be found in the news and can cause distrust in media.
Approach: They propose to annotate politically biased news articles by an algorithm annotated by domain experts and crowd workers and to compare them to crowd workers.
Outcome: The proposed method compares domain experts to crowd workers and shows that bias can be detected automatically.

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