SFGateHow ticket-splitting voters could shape the 2026 midterms
- Bias Rating
- Reliability
70% ReliableGood
- Policy Leaning
N/A
- Politician Portrayal
-8% Negative
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Bias 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
16% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
88% : Yet Hogan came an incredible 17 percentage points closer to winning than Trump did.57% : Perceived by many voters as an ideological moderate, he was also a vocal Trump opponent in a state that supported Biden over Trump in 2020 by around 33 percentage points.
46% : Several hundred thousand North Carolinians split their tickets to produce this outcome. More than 100,000 Arizonans likewise split their tickets in 2024, electing Trump with 52% of the vote, yet rejecting the Trump-aligned Senate candidate Kari Lake in favor of Democrat Ruben Gallego.
45% : For instance, Republican Donald Trump won North Carolina by around 3 percentage points, but voters elected a Democrat, Josh Stein, for governor by a margin of almost 15 percentage points.
44% : Kamala Harris beat Trump by 1.9 million votes, winning 63% of the electorate to Trump's 34%.
41% : Perhaps the most striking feature of Harris-Hogan voters is their self-declared moderation.
*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.