AP EXPLAINS: How India ended up in turmoil over citizenship | Federal News Network

Source: Federal News Network - View Original Article
Published: Jan 21, 2020
Category:
Bias Rating:

94% Conservative


Bias Score Calculation:


Policies:

Military Spending
ICE
Travel Ban
Common Core
Anti-Discrimination Laws

Sentiments

84% "The law applies to Hindus, Christians, Jains, Parsis and Buddhists.""
82% "The protests have brought tens of thousands of people from different faiths and backgrounds together, in part because the law is seen as part ..."
77% "The new citizenship law is seen as a way to provide excluded Hindus with a path to citizenship. THE""
75% "Here's a brief look at how India has grappled with citizenship: IT STARTED WITH PARTITION British colonialists' split of the Indian subcontinent in 1947 into Hindu-majority ..."
74% "People of other faiths and nationalities still have to wait 11 years.""


*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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Contributing sentiments towards policy:

84% : The law applies to Hindus, Christians, Jains, Parsis and Buddhists.
82% : The protests have brought tens of thousands of people from different faiths and backgrounds together, in part because the law is seen as part of a larger threat to the pluralistic social fabric of Indian society.
77% : The new citizenship law is seen as a way to provide excluded Hindus with a path to citizenship. THE
75% : Here's a brief look at how India has grappled with citizenship: IT STARTED WITH PARTITION British colonialists' split of the Indian subcontinent in 1947 into Hindu-majority India and Muslim-majority Pakistan triggered the world's largest human migration.
74% : People of other faiths and nationalities still have to wait 11 years.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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