Debate was an 'eye opener' in suburban Philadelphia and Harris got...
- Bias Rating
50% Medium Conservative
- Reliability
55% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-19% 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
-5% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
50% : He thought Harris held her own against Trump and articulated her plans well.50% : "So I made the choice to get my voter´s registration, and I´m definitely voting for Trump.
39% : I think it´s a matter of supporting democratic governments as opposed to supporting the kind of governments that (Russian President Vladimir) Putin is trying to export, which Trump has no problem with, as far as I can tell.
36% : She said her taxes were lower when Trump was in office and recalled the sting of COVID-19 shutdowns.
28% : Trump left her frustrated after his appearance recently at Arlington National Cemetery when a member of his staff pushed a cemetery official, she said.
28% : Trump did not.
27% : A closer look at what voters in a key part of the country are thinking after what could be the only presidential debate:There's Mary Nolan, 70, of Bensalem, a registered Republican for 50 years who voted for Hillary Clinton in 2016 and Trump in 2020.
20% : In interviews in Bristol and Langhorne, another longtime Republican came away from the debate intrigued but not sold on Harris, a young first-time voter is going for Trump, and a Democrat is still trying to shake the image in his head of people eating pets after Trump's "moronic" talking point on that subject Tuesday night.
*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.