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The Korea Herald Article Rating

How a UK study became center of S. Korea's political debate

  • Bias Rating
  • Reliability

    30% ReliableAverage

  • Policy Leaning

    16% Somewhat Right

  • 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

3% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

61% : Since taking office, however, Lee has signaled openness to inheritance tax relief for a broader segment of the population, reiterating the position during a news conference in September.
52% : In August, another UK nonprofit, Tax Policy Associates, said the report was based on a single-person firm, pointed out that its definition of wealth had changed over time and noted that its estimates contradicted official UK data.
47% : A post by President Lee Jae Myung on social media has once again made headlines, this time over a press release from the Korea Chamber of Commerce and Industry citing data that suggests more wealthy Koreans leaving the country due to tax concerns.
47% : The release aligned with the KCCI's long-standing call to lower inheritance taxes on the superrich, which can reach a nominal rate of up to 50 percent for those with taxable assets exceeding 3 billion won ($2.04 million).
46% : " Lee was referring to a KCCI press release issued Wednesday, which claimed that Korea's high inheritance tax "could be a major factor accelerating an exodus of South Korea's wealth."
39% : In June, the UK-based Tax Justice Network said Henley & Partners failed to accurately track where millionaires actually lived, noting that the firm relied on self-disclosed information from social media platforms such as LinkedIn.

*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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