The Manila times Article RatingAsia Pacific cities hold steady at the top amid global volatility, Kearney's latest report finds
- Bias Rating
- Reliability
60% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
40% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
73% : Global Cities Index Advertisement 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.
43% : About Kearney Since 1926, Kearney has been a leading management consulting firm and trusted partner to three-quarters of the Fortune Global 500 and governments around the world.
*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.
