
Yvette Cooper's shadow looms over UK trade ambitions
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
18% Somewhat Right
- Politician Portrayal
-62% Negative
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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
31% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
49% : If the EU is to get open borders for twentysomethings, then the Home Office thinks it could do with access to the biometric data Brussels holds on asylum seekers, irregular migrants and criminal suspects at a minimum.48% : A question some of you have asked is, given that one of these measures is intended to increase the number of Indians coming to the UK to work as intra-company transfer workers, what does this tell us about the broader direction of government policy and the influence of the Home Office?
47% : One problem with the UK's post-Brexit politics is that we have essentially two tendencies when it comes to trade: one that sniffs at anything involving any form of reduced barriers to trade and movement, and one that sniffs at anything that isn't getting us closer to the EU.
44% : (Exhaustive rundown of what is in the deal by my colleagues here, while premium subscribers can register for the India Business Briefing newsletter for analysis of Indian business and policy.) Is this a sign that at the top of government, the rhetorical commitment to free trade and growth is winning out over the rhetorical commitment to reducing immigration?
41% : It is Cooper's objections to a youth mobility scheme that have to be satisfied if the UK is to successfully reduce barriers between London and Brussels (on which the EU and UK are deeply split as it stands, according to this FT exclusive).
*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.