The 'science' of polling is broken - The Boston Globe
- Bias Rating
10% Center
- Reliability
40% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
2% 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
-1% 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:
61% : Last week the state went for Trump by 13 points.49% : "They're literally one out of a hundred."One paragon of the random sampling method -- the highly respected Iowa pollster Ann Selzer -- shocked politicos and thrilled Harris supporters by releasing a poll the weekend before the election indicating that Harris led Trump in Iowa by three points.
48% : This led to the seemingly accurate results in the swing states because "these models basically said, 'This vote will be like the last vote,' and in some places that was more or less true but with a small tilt toward Trump," notes Bailey.
43% : Loudon County, Va., a short commute from Washington, D.C., and home to the country club wing of the government bureaucracy, swung nearly 10 points toward Trump.
*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.