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Financial Times Article Rating

Don't make Isas a great British failure

  • Bias Rating

    -40% Somewhat Liberal

  • Reliability

    45% ReliableAverage

  • Policy Leaning

    -40% 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

33% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

58% : Industry proposals include dropping the cash element to £4,000 in the mistaken belief you can force people to invest, not to mention skewing tax breaks towards UK-listed stocks.
56% : She looked triumphant this week after forcefully persuading 17 big pension funds to pump an estimated £25bn of workers' retirement savings into UK companies, infrastructure and property by the end of the decade.
52% : Rather than add complexity by limiting future tax breaks to UK equities, there's compelling evidence that widening investor participation would naturally increase UK inflows due to investors' home bias.
52% : Constantly changing the rules governing long-term investments destroys trust in the system, as we have seen with the panicked withdrawal of pensions tax-free cash in the run-up to the last Budget (I wonder how much of that is sitting in cash accounts).
47% : Could she favour wholly or partly restricting the tax-free benefits of investment Isas to UK equities in future?
42% : If a diehard cash saver decided they did want to invest some money, this would require opening a separate Isa product (likely with a different provider) and organising a transfer to preserve the tax benefits.

*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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