
Fighting for justice doesn't have to be a big dramatic act. It can be small | Rebecca Solnit
- Bias Rating
-18% Somewhat Liberal
- Reliability
15% ReliableLimited
- Policy Leaning
-22% Somewhat Liberal
- Politician Portrayal
16% Positive
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
18% Positive
- Liberal
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:
53% : Used strategically, our voices can do a lot to preserve anti-authoritarian worldviews about facts, science, history, rights, justice and inclusion.50% : After Trump took office the first time, I feared that people would be frightened or acquiescent, but the day after the inauguration, there were women's marches -including plenty of men - hundreds, of them, all over the country.
42% : There's nothing to debate about whether or not women are people or fossil fuels cause many kinds of harm, and we're in an era when the most aggressive debaters are most liable to use bullying, ad hominem arguments, insults, untruths and misinformation, bait-and-switch tactics, and the rest of the arsenal of bad-faith discourse.
*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.