How Joe Biden's attempt to cling on to the White House cost Kamala Harris the election
- Bias Rating
50% Medium Conservative
- Reliability
60% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-45% 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% Positive
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
46% : Her last-ditch media blitz has allowed Ms Harris to somewhat flip the narrative, throwing the spotlight on Trump and his mental and physical fitness.44% : When push came to shove, Trump was the candidate that was able to land the most viral blows on his opponent, an important element of an election campaign that focused so much on two personalities.
43% : "I've worked for 15 minutes more than Kamala," Trump said on a campaign stop at a McDonalds, where he manned the fryer and served at the drive-through.
37% : Trump, a former president, billionaire businessman and star of reality television, needed no introduction... but still started his re-election bid in November 2022, two years before the vote.
33% : So that would have signalled to the American people that she is not the San Francisco liberal that Trump said she was."
32% : While Trump was speaking to everyone from video game streamers to Elon Musk, the Democratic nominee was maintaining a low profile.
20% : She was never able to provide concrete evidence that she worked at the fast food chain, which was turned into a stunt by the Republicans when Trump visited a branch in Philadelphia.
9% : Whether it be on the rising cost of living or increasing levels of immigration, Trump pinned the blame on Mr 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.