CNN contributor takes back Cheney 'firing squad' quip: 'I was wrong'
- Bias Rating
-50% Medium Liberal
- Reliability
65% ReliableFair
- Policy Leaning
46% Medium Conservative
- Politician Portrayal
-62% 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
-35% Negative
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
51% : Let's see how she feels about it, you know, when the guns are trained on her face," Trump said.40% : I was reacting in haste to what were objectively appalling and irresponsible comments that had been framed in the set-up piece in the context of previous statements Trump made about shooting protestors and having generals 'executed,'" Goldberg wrote in a statement posted to the social platform X.He added that his comments were "wrong" and did not encompass the true meaning of the former president's remarks.
32% : "I let my disgust at Trump's comments get the better of me as this was the first time I'd heard them.""I regret the initial comment because it was inaccurate and contributed to the kind of overheated environment Trump thrives on," he continued.
19% : "Trump was making - albeit in his customary fashion - a different argument about Cheney's alleged foreign policy views and the use of force," Goldberg stated.
*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.