NIRF Rankings 2025 announced: IIT Madras tops overall category for 10th year
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-30% 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.
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
25% Positive
- Liberal
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:
60% : Speaking at the event, Minister Pradhan highlighted that the NIRF has become a trusted benchmark for students, parents, and policymakers in assessing the performance of higher education institutions in India.55% : This year's NIRF evaluates institutions across 17 categories, including Overall, Universities, Colleges, Research Institutions, Engineering, Management, Pharmacy, Medical, Dental, Law, Architecture and Planning, Agriculture and Allied Sectors, Innovation, Open University, Skill University, State Public University, and SDG/Sustainability.
*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.