LeBron Weighs In On Election, Endorses Kamala Harris
- Bias Rating
10% Center
- Reliability
30% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-27% 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
2% 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:
66% : Remember, James called No. 45 a "bum" in 2017 for rescinding the Golden State Warriors' invite to visit the White House after winning the NBA Finals, famously saying, "Going to White House was a great honor until you showed up!"James also went after Trump for allegedly referencing places in Africa as "s***hole countries" ... and the two also disagreed on Colin Kaepernick's national anthem protest.39% : Polling suggests Trump is outperforming past candidates (vs. 2016, 2020, etc.) when it comes to the Black vote, especially among men.
35% : He previously threw his support behind Barack Obama, Hillary Clinton and Joe Biden ... and ripped Trump when he was in office.
20% : The video paints Trump as a bad guy, full stop, but the electorate may feel differently.
*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.