WiredGov Article Rating

NHS Confederation responds to government announcing an independent commission on social care | WiredGov Newswire (news from other organisations)

Jan 03, 2025 View Original Article
  • Bias Rating

    -16% Somewhat Liberal

  • Reliability

    25% ReliablePoor

  • Policy Leaning

    -16% Somewhat Liberal

  • Politician Portrayal

    N/A

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

26% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

59% : "The government's ambition to find a long-term solution for social care is commendable and we urge all parties to work together to create a consensus for action.
57% : Responding to the government's announcement of an independent commission on social care Matthew Taylor, chief executive of the NHS Confederation, said:"This announcement sets out a range of welcome commitments - not just the commission but also short-term support for the sector as well.
55% : The NHS Confederation urges all political parties to work together to create a consensus for action on social care.
53% : Social care provides vital support to people up and down the country every day, but we know it has been trying to manage very difficult financial and staffing problems in the face of rising demand.
45% : We know that significant change will require difficult choices, but the pressure on social care and impact on the NHS means that governments can no longer kick the can further down the road.
39% : One of the key reasons for patients being stuck in hospitals when they are well enough to be discharged is a lack of social care.

*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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