Daily Mail Online Article Rating

Nat Barr exposes why Anthony Albanese might need to apologise to Trump

Nov 06, 2024 View Original Article
  • Bias Rating

    -4% Center

  • Reliability

    5% ReliablePoor

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -33% Negative

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% Positive

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

45% : 'This project spans many governments and decades, so it needs strong political support across all three countries.'Barr then pointed out Australia's ambassador the US, Kevin Rudd, had himself made comments slamming Trump.
23% : 'Now that Trump is back in, do you think the deal will survive?'Nat Barr interviewed Foreign Minister Penny Wong on Thursday following Donald Trump's win in the US election overnightAnthony Albanese said back in 2017 that Donald Trump 'scared the sh**' out of him'We're confident in the bipartisan support for AUKUS,' Wong replied.
17% : 'Kevin Rudd once called Donald Trump ''nuts'' and ''a traitor to the West'', do you think given those comments and our Prime Minister's past remarks, Trump will see us as a bunch of wild Aussies?'
9% : Nat Barr has suggested Anthony Albanese might need to apologise to Donald Trump after footage emerged of him saying Trump 'scared the sh**' out of him.

*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.

Copy link