Overworked, underpaid, under attack: on the frontlines in a US election office
- Bias Rating
10% Center
- Reliability
90% ReliableExcellent
- Policy Leaning
10% Center
- Politician Portrayal
-25% 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
-40% 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:
62% : I know exactly who made those comments and I will carry that with me for the rest of my life.33% : "There was shock when Trump flipped Luzerne county, long a Democratic stronghold in 2016, said John Kennedy, a political science professor at West Chester University in south-eastern Pennsylvania.
31% : While Trump won it again in 2020, Biden was able to claw back some of the voters he lost in 2020, something he'll try to do more of this year as he seeks to win Pennsylvania, a critical battleground state in the US presidential election.
24% : Since 2020, when Donald Trump and his allies began to question and overturn the results of the election, a flood of election officials have left the profession, facing threats and harassment.
24% : As Trump and allies continue to push the narrative that American elections are rigged, any mistake can be weaponized.
*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.