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LatestLY Article Rating

India News | 44 Former HC and SC Judges Issue Statement Objecting to 'motivated Campaign' Against CJI Kant's Remarks on Rohingyas | LatestLY

  • Bias Rating
  • Reliability

    50% ReliableAverage

  • Policy Leaning

    56% Medium Right

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

-15% Negative

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  •   Conservative
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Bias Meter

Contributing sentiments towards policy:

45% : Such an SIT should inquire into the manner in which illegal entrants obtained Aadhaar, ration cards and other identity or welfare documents, identify the officials and intermediaries involved, and expose any trafficking or security-linked networks that may be exploiting humanitarian concerns" The Rohingya situation in Myanmar is complex, the statement says, requiring India's clear legal approach.
43% : Their misuse corrodes the integrity of our identification and welfare systems and raises grave questions about collusion, document fraud and organised networks.
40% : India is neither a signatory to the UN Refugee Convention of 1951 nor its 1967 Protocol," the statement added.
39% : Reiterating legal and factual clarity, the signatories underlined that the Rohingya community in India has not entered through any statutory refugee-protection mechanism, as the country is not a party to the 1951 United Nations Refugee Convention or its 1967 Protocol.
36% : The statement further flagged concerns regarding the illegal procurement of Aadhaar cards, ration cards and other welfare-linked documents by individuals who entered the country unlawfully.
34% : If every searching judicial question on nationality, migration, documentation or border security is met with accusations of hate or prejudice, judicial independence itself will be at risk.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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