Why does calling Trump 'weird' hurt him so much?
- Bias Rating
50% Medium Conservative
- Reliability
60% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
2% Positive
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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
8% Positive
- Liberal
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
55% : Trump, clearly, is rattled.28% : It is particularly ineffective given that her laugh is a selling point, while Trump never seems to laugh at all, which, if we are being honest, is a little . . . weird.
25% : You might think Trump represents the gravest threat to liberal democracy since Hitler, you might think that his second term would be more terrible and dictatorial and damaging than the first, you might think he is the most dangerous presidential candidate ever, but none of these warnings are motivating or compelling to the average undecided voter.
23% : It comes down to this: the Democrats are currently beating Trump at his own game.
20% : He's weird," Trump said during a town hall in Wisconsin on Thursday, leaning rather awkwardly on a chair and looking around the room for reassurance.
15% : And while Trump was the only one who seemed able to use humour effectively when Biden was the nominee, with Harris and Walz this is no longer the case.
8% : MSNBC ran a "Trump expands his coalition of the weird" segment on Wednesday after Trump added Robert F Kennedy Jr, a man he only recently called a "Radical Left Lunatic", to his presidential transition team.
5% : The "he" that Trump was referring to is Tim Walz, governor of Minnesota, Kamala Harris's running mate and the man responsible for making "weird" one of the defining words of the 2024 US election.
*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.