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Yahoo! Finance Article Rating

Reeves calls for Labour unity ahead of eve of tax-raising Budget

  • Bias Rating
  • Reliability

    25% ReliableLimited

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -58% 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

21% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

57% : As she is preparing to undertake what has been described as a "smorgasbord" approach to raising tax, Ms Reeves could hit high-value properties with a new levy that applies to those worth more than £2 million and could raise £400-£450 million, according to reports.
51% : The Chancellor is due to deliver her second budget in the House of Commons on Wednesday, in which she is widely expected to pull the lever on tax hikes in order to fill a black hole in the public finances.
37% : But she has already been warned about the impact of the so-called "mansion tax" if it is implemented incorrectly.
36% : Many Labour MPs are understood to have become increasingly frustrated about the prospect of tax rises on the horizon, amid their party's opinion poll slump less than two years into a term of government.
36% : The downgrade, and the subsequent reduction in tax revenues, will force the Chancellor to hike taxes to balance the books and build a bigger buffer against future shocks than the historically-low level of headroom she has previously given herself.
33% : Economist Paul Johnson, formerly of the influential Institute for Fiscal Studies think tank, told The I Paper that a full revaluation of council tax was needed, rather than simply raising the highest tax bands.

*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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