What polling says about key 2024 Senate races
- Bias Rating
-2% Center
- Reliability
55% ReliableFair
- Policy Leaning
12% Somewhat Conservative
- Politician Portrayal
12% 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
11% 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:
62% : However, that year, Republican presidential nominee Mitt Romney carried the Big Sky State by about 14 points, whereas Trump won it by 20 and 16 points in 2016 and 2020, respectively.54% : These three contests undoubtedly constitute the GOP's top Senate targets in 2024, given that Trump carried each state in 2016 and 2020 and looks very likely to do so again this November.
32% : 538 doesn't yet have enough polling for a Montana presidential average, but Trump has led Harris by 15 or more points in most surveys, which suggests his margin of victory might once again be larger than Romney's.
26% : This year, Trump leads Harris in Ohio by around 10 points, so while Brown likely won't need nearly as many split-ticket voters as Tester, he will still need a fair number of voters who back Trump to vote for him, too.
*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.