![The Guardian](https://media.publit.io/file/The-Guardian.jpeg)
Biden's withdrawal from the 2024 race: our panelists' reactions
- Bias Rating
10% Center
- Reliability
40% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-22% 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
11% 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
![Bias Meter](https://www.biasly.com/wp-content/themes/child-them/assets/img/speednew.png)
Contributing sentiments towards policy:
71% : Currently, Trump is still the favorite in this election, but a Harris campaign gives Democrats a much higher ceiling than the Biden one did.42% : Hours before Biden's withdrawal, a poll published in the Detroit Free Press showed Trump with a seven-point ahead in Michigan, a do-or-die battleground for the Democrats.
23% : Trump is still deeply unpopular, and Harris has a great chance to capitalize.
11% : A move to a candidate in Kamala Harris who can forcefully make the case against Donald Trump, barnstorm the country, do town halls and press conferences, and inject energy into the political moment offers Democrats a chance to catch up and beat 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.