
Joseph Nye, who coined the term 'soft power', dies aged 88
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
50% Medium Right
- Politician Portrayal
-31% Negative
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
11% Positive
- 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:
50% : Bill Clinton appointed Nye chair of the National Intelligence Council and an assistant secretary of defence, tasked with developing strategy on US security relations with the world at large -- and in particular Asia.43% : In a career spanning six decades, Nye made extensive contributions to political scholarship and served in two US presidential administrations, leading nuclear non-proliferation efforts and pushing for closer ties with Japan.
25% : But extreme narcissists such as Trump are not true realists, and American soft power will have a hard time during the next four years," Nye wrote.
24% : " In recent years, Nye was a staunch critic of Trump, who he argued did not understand the value of soft power.
*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.