JOURNAL ARTICLE

Study of Detecting the Political Bias in News Articles

Pritesh PatilShubham ChaudhariArpita DhoteMrunali GordeDurvesh Palkar

Year: 2021 Journal:   International Journal of Scientific Research in Science and Technology Pages: 57-61   Publisher: Technoscience Academy

Abstract

Nowadays news audiences are experiencing an "echo chamber" due to news biased coverage, which causes individuals to shape views with only one side of the story in mind. Media is considered the strongest source of insight and viewpoint for readers about current events. Therefore, the inequality and misrepresentation of media portrayal of topics is necessary to scrutinise. So, by computing a bias score for the news articles, the reader is able to make an informed decision related to particular events. In this paper, an attempt is made to prepare a survey report detailing some of the literature work done for figuring out the systems which detect the political bias for the news articles.

Keywords:
Misrepresentation Politics Media bias News media Fake news Political science Newspaper Public relations Psychology Computer science Sociology Media studies Law

Metrics

1
Cited By
0.39
FWCI (Field Weighted Citation Impact)
7
Refs
0.69
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Misinformation and Its Impacts
Social Sciences →  Social Sciences →  Sociology and Political Science
Sentiment Analysis and Opinion Mining
Physical Sciences →  Computer Science →  Artificial Intelligence
Hate Speech and Cyberbullying Detection
Physical Sciences →  Computer Science →  Artificial Intelligence
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