How the American TV channels decide who wins the US election
- Bias Rating
34% Somewhat Conservative
- Reliability
25% ReliablePoor
- Policy Leaning
44% Medium Conservative
- Politician Portrayal
-32% 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
-4% 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:
43% : I am sure, for example, we won't have to wait long on election night for Kentucky or Tennessee, say, to be called for Trump - or for Connecticut or Rhode Island to be called for Harris.42% : "That isn't the case for Trump and Harris - but however the result goes, don't expect a public concession sealed with a handshake in a school gymnasium or leisure centre.
12% : (Voting machines were not only a big story back in Florida in 2000 - Fox News was forced to pay out almost $800m to Dominion Voting Systems after the 2020 election for falsely claiming that the company's machines were switching votes for Trump to Biden.)
*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.