Al Jazeera Article RatingFact-check: Did 20 million Democratic votes 'disappear'?
- Bias Rating
10% Center
- Reliability
90% ReliableExcellent
- 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
-24% 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:
64% : In 2020, Trump received 74.2 million votes and President Joe Biden received 81.2 million.61% : As of 4pm on November 7, Trump received 72.8 million votes and Harris received about 68 million votes.
59% : Trump and those around him were more than confident Trump would win," read the November 6 Threads post.
48% : "Election officials, election monitors, election lawyers, partisan observers, non-partisan observers, and election science experts like myself pay very close attention to elections at every level," Gronke said.
20% : 14 million more votes for Trump over Harris?
12% : When Donald Trump lost his re-election bid in 2020, many Republicans -- Trump included -- made unsubstantiated claims of widespread election fraud.
*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.