Bloomberg News Article RatingSave 'Every Drop of Fuel' South Korea Urges, as Iran Crisis Hits
- Bias Rating
- Reliability
55% ReliableAverage
- Policy Leaning
-32% Somewhat Left
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Log In
Log in to your account to see the in-depth bias analytics and more.
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
-29% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
58% : Lee framed the fiscal response as both a crisis measure and a structural pivot, saying the government will accelerate investment in renewable energy and strengthen supply chain resilience to lower dependence on external shocks.57% : The government has already taken unprecedented steps, including imposing a fuel price capBloomberg Terminal for the first time in nearly three decades, and expanding fuel tax cutsBloomberg Terminal to ease the burden on the public and companies.
53% : Authorities have also stepped up efforts to secure alternative energy supplies, and manage key inputs such as naphtha and urea, which are critical to industrial production.
48% : The government has sought to limit market impact by funding the package largely through excess tax revenue rather than new bond issuance.
*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.