POST-ELECTION NOVEMBER HARVARD CAPS / HARRIS POLL: TRUMP APPROVAL RATING AT 54% AS VOTERS HOPE HE WILL ADDRESS TOP ISSUES OF INFLATION AND IMMIGRATION
- Bias Rating
- Reliability
65% ReliableAverage
- Policy Leaning
4% Center
- Politician Portrayal
16% Positive
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
39% 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:
56% : Trump won on a clear message of middle- and working-class economics," said Mark Penn, Co-Director of the Harvard CAPS / Harris poll and Stagwell Chairman and CEO.52% : HAD THE BIGGEST IMPACT ON THE ELECTION NEW YORK and CAMBRIDGE, Mass., Nov. 18, 2024 /PRNewswire/ -- Stagwell (NASDAQ: STGW) today released the results of the November Harvard CAPS / Harris poll, a monthly collaboration between the Center for American Political Studies at Harvard (CAPS) and the Harris Poll and HarrisX. The poll shows that Trump won over Harris by 2 points, driving the core issues of inflation and immigration most salient to the majority of Americans.
37% : Looking ahead to the new administration, voters are divided on perceptions of Trump but want him to prioritize tackling inflation.
*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.