Democrats reveal their top targets to flip in 2026
- Bias Rating
-6% Center
- Reliability
25% ReliableLimited
- Policy Leaning
-16% Somewhat Liberal
- Politician Portrayal
9% 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
7% 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:
64% : Democrats flipped several seats that Trump won by double digits in the 2018 wave in places like South Carolina and Oklahoma.62% : All three hold districts that Trump carried by between 15 and 18 points last year.
55% : The list includes 10 seats that Trump won by 10 percentage points or more in 2024 -- with House Democratic leaders projecting the environment will be favorable enough to catapult them even in heavily Republican territory.
55% : Similarly, they believe Musk's Department of Government Efficiency will help them oust Kiggans and Rep. Rob Wittman.
46% : They're tanking the economy, gutting Medicaid, abandoning our veterans, and making everything more expensive.
42% : But Democrats are zeroing in on members like Reps.
*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.