All (Approved) Things Considered: How We Lost Our Way at NPR
- Bias Rating
34% Somewhat Conservative
- Reliability
75% ReliableGood
- Policy Leaning
34% Somewhat Conservative
- Politician Portrayal
-10% 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
15% Positive
- 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% : Maybe Berliner should have listened more to conservatives before asserting that 2016 was the inflection point for his outlet, because we've been noticing the enforcement of the progressive party line there for years before Trump rode down the escalator.52% : By my count, NPR hosts interviewed Schiff 25 times about Trump and Russia.
52% : And their scummy alliance with Schiff started before Trump won the election, too.
9% : Berliner puts the beginning of the corruption at the election of Donald Trump, when NPR went all-in on Adam Schiff's McCarthyism -- and failed to call it out when it collapsed:Schiff, who was the top Democrat on the House Intelligence Committee, became NPR's guiding hand, its ever-present muse.
*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.