
JASON SNEAD: Republicans Shouldn't Forget That Election Integrity Is Good Politics
- Bias Rating
-10% Center
- Reliability
75% ReliableGood
- Policy Leaning
-10% Center
- Politician Portrayal
8% Positive
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
20% Positive
- Liberal
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:
60% : While foreign nationals are barred from contributing to political candidates, a legal loophole permits them to directly and indirectly finance ballot measure campaigns.53% : States should require photo ID for every vote cast, whether in person or by mail.
52% : States should focus on passing new laws to end Zuck Bucks 2.0 before the program can influence another election.
52% : States should require ballots be received by Election Day, as 32 states already require.
45% : After all, last year voters passed state ballot measures banning noncitizen voting and requiring voter ID while rejecting others that sought to impose California-style jungle primaries and ranked-choice voting (RCV) -- all by wide margins.
*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.