Perceived tensions between immigrants and British-born people at new high - poll
- Bias Rating
- Reliability
30% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
-18% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
Conservative
Contributing sentiments towards policy:
51% : Mr Duffy said the UK had lived through "an incredibly divisive period around the EU referendum and its aftermath" and that division appears to have "morphed into party political and other splits, with attitudes to immigration and the speed of culture change more generally at the heart of them". Gideon Skinner, senior director of UK politics at Ipsos, said: "Perceptions of political and cultural disharmony are growing, reflecting a society grappling with nostalgia, the pace of change, and growing tensions over immigration, and with polarised views over what terms like 'woke' signify." But he cautioned that: "On many issues there is no clear consensus, with a need to understand the differences under the topline figures; it should not be forgotten that many people are not on the extremes in their views".47% : The polling of 4,027 people aged 16 and older in August, came four months after the Supreme Court ruling, which said the words "woman" and "sex" in the Equality Act 2010 refer to a biological woman and biological sex.
39% : Researchers from King's College London (KCL) said post-Brexit division appeared to have "morphed into" party political and other splits around immigration and so-called culture wars.
*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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