Yahoo News Article RatingIndonesia Auto Finance Market is expected to generate USD ~53 Bn by 2026 owning to increasing Digitisation, Positive Outlook for E-Vehicles and Increasing Urbanization: Ken Research
- Bias Rating
-20% Somewhat Liberal
- Reliability
65% ReliableFair
- Policy Leaning
-16% Somewhat Liberal
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
N/A
- 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:
59% :Egypt Auto Finance Market Outlook to 2027- Driven by women drivers entering the market, digital advancements and initiatives by the GovernmentUrbanization is expected to rise to more than 60% by 2030, which means increased demand for jobs, housing, infrastructure, and social services such as public transportation.49% : According to Ken Research estimates, that UAE Auto Finance Market has decreased from 2016 to 2021 at a CAGR of -6.3% owing to government regulations, lifestyle changes and the COVID-19 lockdown but in the upcoming period, the growth is expected to normalize owing to the emergence of new and improved technologies.
*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.