White noise: why hatred of Donald Trump fuels his success as much as his supporters' love
- Bias Rating
-14% Somewhat Liberal
- Reliability
55% ReliableFair
- Policy Leaning
-26% Somewhat Liberal
- Politician Portrayal
14% 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
- 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:
79% : Trump is global, and your passions are part of his plan.50% : Trump, with his bombastic headline-generating instincts, is both the most clickable and subscribe-able topic for news-consuming audiences to devour - whether you love or hate him.
47% : These ingredients: partisan media ecosystems; supportive crowds whipped into frenzies; wealthy backers keen to exploit the first two ingredients for their own financial gain - these are what have delivered us Trump.
46% : Just ask the New York Times, which was on the verge of bankruptcy in the years leading up to 2016 until a shock Trump victory sent all the haters to rush to subscribe in defence of fact-based journalism, whose incentive is now to keep them subscribed with a steady stream of Trump schadenfreude.
*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.