Understand the bias, discover the truth in your news. Get Started
newspatrolling.com Article Rating

Asia Pacific cities hold steady at the top amid global volatility, Kearney's latest report finds - Newspatrolling.com

  • Bias Rating
  • Reliability

    35% ReliableAverage

  • Policy Leaning

    -66% Medium Left

  • 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

52% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

72% : Global Cities Index The GCI evaluates cities across five dimensions: business activity, human capital, information exchange, cultural experience, and political engagement.
63% : This stability reflects modest gains in political engagement and human capital, driven by improvements in ease of entry.
60% : Note to editor The GCI assesses how globally engaged cities are across five dimensions: business activity, human capital, information exchange, cultural experience, and political engagement.
51% : The GCO, on the other hand, examines how cities are creating the conditions for future status as major global players.
50% : Kearney's report reveals that as the world enters the intelligence age, cities are not competing on size or legacy alone, but increasingly on readiness: the ability to align infrastructure, renewable energy, and talent to harness the opportunities of artificial intelligence while managing its risks.

*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.

Category
Topic
Copy link