Stop Mass Migration or Britain Will Face Societal Breakdown: Report
- Bias Rating
48% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
4% Center
- Politician Portrayal
1% Positive
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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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
65% : Despite persistent promises from Home Secretary Priti Patel to "get tough" on illegal immigration, the waves of migrants have only increased, with estimates forecasting 30,000 by the end of the year through this illegal route, alone.59% : Alp Mehmet has previously told Breitbart London that Prime Minister Boris Johnson's points-based immigration system would not in fact reduce migration following Brexit, as it fails to introduce a hard cap on the number of migrants per year.
53% : For those coming from the European Union, about half came from Eastern European nations such as Poland, Romania, Bulgaria, Hungary, Slovenia, and Latvia.
52% : Migration Watch said that one of the main means of integrating migrants is through entering the workforce, however, it found that over six of the nine million foreign-born residents of the UK in 2019/20 said that they came to the country for other reasons than employment, such as claiming asylum, going to school, or to join relatives of migrants already in the country.
48% : In a follow-up to the bombshell report released last month which found that the foreign-born population has risen to nine million and the ethnic minority population to thirteen million over the past twenty years, the Migration Watch think tank found that 62 per cent of the foreign-born population were born outside of the European Union, compared to just over a third (38 per cent) from EU countries.
*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.