Quantifying Political Bias in News Articles

• URL: http://arxiv.org/abs/2210.03404v1
• Date: Fri, 7 Oct 2022 08:51:20 GMT
• Title: Quantifying Political Bias in News Articles
• Authors: Gizem Gezici
• Abstract summary: We aim to establish an automated model for evaluating ideological bias in online news articles. The current automated model results show that model capability is not sufficient to be exploited for annotating the documents automatically.
• Score: 0.15229257192293202
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Search bias analysis is getting more attention in recent years since search results could affect In this work, we aim to establish an automated model for evaluating ideological bias in online news articles. The dataset is composed of news articles in search results as well as the newspaper articles. The current automated model results show that model capability is not sufficient to be exploited for annotating the documents automatically, thereby computing bias in search results.

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