India-NATO Talks on Global Security at Shangri-La Dialogue
- Bias Rating
26% Somewhat Right
- Reliability
40% ReliableAverage
- Policy Leaning
26% Somewhat Right
- 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.
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
62% Positive
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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
Contributing sentiments towards policy:
58% : Earlier in the day, Rajesh Kumar Singh also met US Indo-Pacific Command Commander Admiral Samuel J Paparo, with discussions focussed on strengthening military-to-military cooperation, enhancing collaboration in the Indo-Pacific and addressing emerging security challenges.55% : Discussions focused on strengthening military-to-military cooperation, enhancing collaboration in the Indo-Pacific, and addressing emerging security challenges, reaffirming the shared commitment towards deepening India-US strategic defence ties," Directorate of Public Relations, Ministry of Defence, posted on X. On the sidelines of the Shangri-La Dialogue, Rajesh Kumar Singh engaged with leading think tanks and academia on strengthening the Indo-Pacific security architecture, defence industrial collaboration and emerging technology partnerships.
*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.