TownhallHere's What a College Professor Said About the 2024 Race That Blew a Liberal Magazine Away
- Bias Rating
46% Medium Conservative
- Reliability
20% ReliablePoor
- Policy Leaning
80% Very Conservative
- Politician Portrayal
-15% 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
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- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
34% : It didn't dawn on these people that Trump could win, even with the consensus being that the race would be razor-thin, despite everything that's been hurled at the now-president-elect?31% : She told them if Trump won, she'd likely not be expected to submit anything.
29% : Not only did Trump win the Electoral College, but he also bested Harris in the popular vote, which has irritated liberals to no end.
25% : That's why there's little rabble, or at least muffled this cycle, about the abolition of the Electoral College because either way, Trump would've beaten the Democrats.
23% : Trump also won every swing state this cycle, all seven, and smashed the blue wall again.
*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.