
Shannon Gormley: Canada's fake feminist prime minister is running out of women to use as props
- Bias Rating
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-35% Negative
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.
Bias 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
-28% Negative
- 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:
54% : Now Trump will eat these guys for breakfast.46% : Trump will miss Freeland too, in his way: You can't kick a woman who isn't around.
26% : Trudeau -- the man who Trump calls him Governor of the 51st State -- may learn that no amount of niceness will protect him either.
23% : "Toxic" woman," Trump pleaded online, "she will not be missed.
22% : Last week, Trump learned that he wouldn't be able to insult Freeland at the negotiating table anymore, so he insulted her online.
*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.