Letters to the Editor | Sept. 3, 2024
- Bias Rating
50% Medium Conservative
- Reliability
70% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-8% 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
-25% Negative
- 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:
39% : The latest, which is already backfiring on Trump, is his attempt to use the laying of a wreath at Arlington National Cemetery for a campaign ad.37% : The press should be all over Trump and publish more with the aim to make people understand that they may be voting for a man who is unqualified for the presidency, and surely a risk to democracy.
36% : "This shows what Trump is all about: a total disregard for the law, a disrespect for the servicemen buried there, the callous use of the suffering of families who lost loved ones in Afghanistan, and the complete nastiness of his campaign staff to degrade and humiliate the official for doing her job.
3% : Trump continues to blame Joe Biden, but it was Trump who engineered the withdrawal of U.S. troops from Afghanistan.
*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.