What Walz's and Vance's past debates may reveal about Tuesday's high-stakes matchup | CNN Politics
- Bias Rating
50% Medium Conservative
- Reliability
55% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-5% 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
3% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
66% : Coming on to the political scene after writing a New York Times bestseller in 2016, Vance won a crowded Senate primary in 2022 with the backing of Trump, and went on to hold the seat in Republican hands after a contentious race against a stronger-than-expected Democratic challenge.49% : When Trump announced Vance as his pick at the Republican National Convention in July, the first-term senator had yet to turn 40, and he has served less than two years in elected office.
44% : "Still, for as many debates, forums and interviews these candidates have done, neither has debated as a running mate's No. 2.
35% : The Walz-Vance matchup may be the last debate of the 2024 election, unprecedented in modern presidential campaigns, with Trump rejecting calls from Harris to agree to a second meeting, including one proposed by CNN for October 23 in Atlanta.
28% : As a congressman for six terms representing one of the most moderate and rural districts in Minnesota, Walz would regularly rebuff attacks about his support for Obamacare or being more liberal than his district by noting his work with Republicans.
14% : In previous showdowns, Vance has acknowledged his early criticism of Trump but also argued that his past opposition was not disqualifying and that his support of the former president was ironclad.
*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.