The Real Losers of the Walz-Vance Debate: Every Voter Watching It
- Bias Rating
50% Medium Conservative
- Reliability
40% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-46% 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
-28% Negative
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
32% : You would not have known that Trump was a serial sex-abuser, or that his first wife said that he raped her, or that he kept a book of Hitler's speeches by his bedside, and surrounded himself with Nazis and white supremacists.29% : If you were a viewer who knew nothing about the campaign or the people behind it, you would never know that Trump has said that we need a Kristallnacht-like day of violence in this country to "solve" our crime problem.
21% : You wouldn't know that Trump has said he would throw his rivals in prison.
21% : You would not have known that Trump was twice impeached, or that a million Americans died from his mishandling of COVID, or that his family corruptly profited from his presidency.
14% : That was clear when, very late in the program, long after most viewers had switched to another channel, the issue of Trump fomenting an insurrection on January 6 came up, and Vance minimized the brutal riot all America watched, and then said the real issue was Kamala Harris' "censorship."
6% : When Walz pushed back -- by pointing out for example that under Trump there was not world peace as Vance asserted or that Trump actually made Iran more dangerous by withdrawing from the nuclear program -- there were only occasional comments from the moderators to help viewers understand what was true and what was not.
*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.