These are the most vulnerable senators of the 2026 election cycle
- Bias Rating
22% Somewhat Conservative
- Reliability
45% ReliableAverage
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-16% Negative
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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
-8% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
84% : Cassidy has taken steps to underscore his support for Trump, including voting to confirm Robert F. Kennedy Jr. as Health and Human Services secretary.47% : Collins, no stranger to tough races, lands at No. 3.
42% : And Texas' John Cornyn faces a primary challenge from state Attorney General Ken Paxton in a race in which support from Trump could be critical.
35% : And he has already drawn a handful of primary challengers, including retired furniture manufacturing executive Andy Nilsson and author Don Brown, who have accused the incumbent of being insufficiently supportive of Trump.
33% : He's already drawn attacks from Republicans after signaling support for impeaching Trump at a town hall last month.
31% : Ossoff, however, remains highly vulnerable in the Peach State, which voted for Donald Trump by 2 points last year.
23% : Louisiana's Bill Cassidy, who drew a censure from his state party after voting to convict Trump at his second impeachment trial, will have to win back support from his party as the state shifts to a more traditional primary system this year.
17% : Cassidy's 2021 vote to convict Trump on one article of impeachment earns him a spot on this list as he seeks a third Senate term.
*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.