Psychiatrist claims debate shone light on Trump's cognitive abilities
- Bias Rating
50% Medium Conservative
- Reliability
10% ReliablePoor
- 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
-17% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
55% : 'If a patient presented to me with the verbal incoherence, tangential thinking, and repetitive speech that Trump now regularly demonstrates, I would almost certainly refer them for a rigorous neuropsychiatric evaluation to rule out a cognitive illness,' he added.55% : But attention has turned to Trump himself who will be the oldest US president ever elected if he wins in November.
38% : 'Even in cases where Trump could have reasonably defended himself, he was unable to articulate basic exculpatory evidence,' Friedman claimed.
36% : 'Only careful medical examination can establish whether someone indeed has a diagnosable illness -- simply observing Trump, or anyone else, from afar is not enough.
26% : 'After praising the Hungarian strongman Viktor Orbán, Trump spoke unprompted, at length, and without clarity about gas pipelines in the United States and Europe, an issue unlikely to connect with many voters.
25% : 'When Harris raised his infamous 'very fine people on both sides' remark regarding the 2017 white-supremacist march in Charlottesville, Virginia, Trump could have pointed out that even at the time, he had specified, 'I'm not talking about the neo-Nazis and the white nationalists -- because they should be condemned totally'.
19% : 'Trump expounded at every opportunity on immigration, a weak issue for Harris.
*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.