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Travel Weekly Article Rating

Brexit 'massively damaged' inbound sector and UK reputation | Travel Weekly

  • Bias Rating

    -10% Center

  • Reliability

    40% ReliableAverage

  • Policy Leaning

    -62% Medium Liberal

  • Politician Portrayal

    -15% 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

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  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

65% : Wratten noted: "We said we would worry about Brexit when the time came.
58% : "Brexit has delivered no evidence of benefit for travellers.
56% : She insisted that much of the disruption caused by Brexit had been masked by the pandemic.
55% : Travel industry leaders have expressed alarm at the growing impacts of Brexit, with the head of the UKinbound association declaring the sector has suffered "massive" damage, not least from ministers' refusal to recognise European Union ID cards at the UK border.
54% : Well, we're starting to worry now." Separately, Advantage Travel Partnership chief executive Julia Lo Bue-Said said there was no evidence to show that Brexit had delivered any benefit to UK travellers.
53% : I'm not saying that is all due to Brexit, but it's a fact that people felt they wouldn't be welcome [because of Brexit]."
52% : But he added: "The biggest impact of Brexit has been around mobility.
52% : The independent travel agency consortium chief called on the government to focus its attention on "ensuring we use the opportunity to reduce the web of complex consumer and financial protection regulation that has been borne out of Brexit".
41% : The comment came on the third anniversary of the UK's withdrawal from the European Union.

*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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