MediaSpin: Exploring Media Bias Through Fine-Grained Analysis of News Headlines

• URL: http://arxiv.org/abs/2412.02271v1
• Date: Tue, 03 Dec 2024 08:41:13 GMT
• Title: MediaSpin: Exploring Media Bias Through Fine-Grained Analysis of News Headlines
• Authors: Preetika Verma, Kokil Jaidka,
• Abstract summary: This corpus comprises 78,910 pairs of news headlines and annotations with explanations of the 13 distinct types of media bias categories assigned. We demonstrate the usefulness of our dataset for automated bias detection in news edits.
• Score: 12.636213065708318
• License:
• Abstract: In this paper, we introduce the MediaSpin dataset aiming to help in the development of models that can detect different forms of media bias present in news headlines, developed through human-supervised and -validated Large Language Model (LLM) labeling of media bias. This corpus comprises 78,910 pairs of news headlines and annotations with explanations of the 13 distinct types of media bias categories assigned. We demonstrate the usefulness of our dataset for automated bias detection in news edits.

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