Hull Daily Mail Article Rating

Brexit: firms suffering due to red tape and border delays

Feb 10, 2022 View Original Article
  • Bias Rating

    -18% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    -18% Somewhat Liberal

  • Politician Portrayal

    -59% 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

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  •   Conservative
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

63% : In its critical assessment of the impact of Brexit on the UK border, it criticised the Government over repeated delays to introduce full import controls, which are due to to be phased in from last month, and called for an end to "overpromising".
61% : UK trade with the EU has been knocked by Brexit and businesses have faced higher costs, more paperwork and border delays since Britain's withdrawal, according to the public spending watchdog.
50% : A report by the Public Accounts Committee found that, while it was difficult to untangle how much of the hit to trade since the end of the Brexit transition on December 31 2020 has been caused by the Covid-19 pandemic and how much by Brexit, it was "clear that EU exit has had an impact".
44% : It said that far from freeing up firms to boost productivity and contribution to the economy, the "only detectable impact" of Brexit so far has been to increase the burdens on businesses.
41% : Dame Meg Hillier, chair of the Public Accounts Committee, said: "One of the great promises of Brexit was freeing British businesses to give them the headroom to maximise their productivity and contribution to the economy - even more desperately needed now on the long road to recovery from the pandemic.

*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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