New Statesman Article Rating

Labour must resist the siren calls of austerity

  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -56% 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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Conservative

Bias Meter

Contributing sentiments towards policy:

53% : Under the shadow business secretary Jonathan Reynolds and the shadow chancellor Rachel Reeves, the plan has evolved from aspirations to clear targets: double onshore wind, triple solar power, quadruple offshore wind; decarbonise the electricity system by 2030; train tens of thousands of doctors and nurses; build new, green steel production facilities; use defence spending to drive a domestic industrial renaissance.To achieve this, we will have to borrow to invest: the £28bn-a-year that Reeves has promised until 2030 should remain the central spine of Labour's promise.
48% : In January this year he in effect committed the Treasury to a policy of "intergenerational justice" on climate change - meaning that any investment needed to decarbonise Britain must come from taxation, not borrowing.
46% : So did Brexit, which has exacerbated the skills shortage that blights every sector, and permanently weakened sterling - without any concomitant boost in exports.
32% : "It won't work, it's not necessary and it will harm people": that's the one-line summary of how Labour should react to tomorrow's Autumn Statement (17 November), which looks likely to raise taxes and cut public spending by around £60bn by 2027.

*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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