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Study of Detecting the Political Bias in News Articles
Author(s) -
Pritesh Patil,
Shubham Chaudhari,
Arpita Dhote,
Mrunali Gorde,
Durvesh Palkar
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/ijsrst218315
Subject(s) - misrepresentation , politics , media bias , news media , fake news , political science , newspaper , public relations , psychology , computer science , sociology , media studies , law
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.

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