Opinion | Readers critique The Post: An LGBTQ+ commercial success
- Bias Rating
-10% Center
- Reliability
40% ReliableFair
- Policy Leaning
-10% Center
- Politician Portrayal
-64% 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
N/A
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:
45% : I was struck by the "government speak" that The Post quoted from a report in the June 27 news article "Senate panel cites more pre-Jan. 6 failures by FBI, DHS."Wouldn't the sentence that quoted the Senate report as saying the FBI and Department of Homeland Security Office of Intelligence and Analysis "failed to fully and accurately assess the severity of the threat identified by that intelligence, and formally disseminate guidance to their law enforcement partners with sufficient urgency and alarm to enable those partners to prepare for the violence that ultimately occurred on January 6th" have read better if it had said the FBI and DHS "failed to assess the severity of the threat and failed to disseminate guidance to law enforcement partners to enable them to prepare for the violence of Jan. 6"?*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.