What Labour can learn from the Batley and Spen byelection | Letters
- Bias Rating
-20% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-20% Somewhat Liberal
- Politician Portrayal
-71% 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
N/A
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
66% : The complex postmortem on the Batley and Spen byelection has highlighted the fact that we are in denial of the seismic shift in British voting behaviours that has occurred since Brexit.46% : The Tories' mismanagement of the Covid pandemic presents a persuasive case for what Labour should be both for and against: proper resourcing of health and social care and the kind of levelling up to tackle health and social inequalities proposed by Michael Marmot (Jaw-dropping' fall in life expectancy in poor areas of England, report finds, 30 June), coupled with a relentless focus on cronyism and double standards.
46% : Brexit has given a new political power base to the nationalist vote, which was formerly equally divided between Labour and Tory.
*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.