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UN reflects realities of 1945, not 2025: Jaishankar calls for urgent reforms

  • Bias Rating
  • Reliability

    50% ReliableAverage

  • Policy Leaning

    -46% Medium Left

  • 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

44% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

66% : They stand out as a testament to bravery, and their legacy remains a solemn call to action for all of us.
62% : Praising the contributions of peacekeepers worldwide, Jaishankar said UN peacekeeping has proven what collective action can achieve when nations unite for a larger cause.
61% : These brave sons and daughters put their lives on the line to protect civilians, to deliver humanitarian aid, and to support fragile peace processes.
58% : Calling for urgent reform, the minister asserted that for the UN to remain effective, it must "become more inclusive, democratic, participative, and representative of today's world".
48% : External Affairs Minister (EAM) S. Jaishankar on Thursday said the United Nations continues to mirror the world of 1945 rather than the realities of 2025, stressing that the need for reform has become urgent.
48% : However, he noted that the process of reform is being used to "derail the agenda", which allows historical injustices to persist.
41% : It is also why we place our faith in multilateralism and international partnerships," he added.
40% : However, he said, "the process of reform itself is being used to derail the agenda, and as a result, historical injustices still continue.

*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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