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India-Australia business ties enter 'execution phase,' say leaders

  • Bias Rating

    -80% Very Left

  • Reliability

    45% ReliableAverage

  • Policy Leaning

    -80% Very 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

33% Positive

  •   Liberal
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

75% : Between India and Australia there are many sectors where they can work together, this ranges from education and skilling to green energy, renewable energy, critical minerals, digital economy, banking infrastructure and public infrastructure.
60% : According to the Prime Minister's Office, Modi highlighted opportunities for greater collaboration in manufacturing, clean energy, critical minerals, infrastructure, artificial intelligence, fintech and the digital economy, while calling for an early conclusion of the proposed Comprehensive Economic Cooperation Agreement (CECA) to further strengthen trade and investment ties between the two countries.
59% : Business leaders from India and Australia on Thursday said the two countries are moving beyond discussions towards deeper business collaboration, with opportunities emerging across sectors such as critical minerals, clean energy, infrastructure, defence and the digital economy following the Australia-India CEOs Forum.
58% : Following the Australia-India CEOs Forum, business leaders from both nations stated that the relationship has matured from a discussion to an execution phase, with significant opportunities for collaboration across sectors like clean energy and defence.

*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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