Liz Cheney issues new brutal rebuke of Donald Trump
- Bias Rating
- Reliability
60% ReliableAverage
- Policy Leaning
50% Medium Right
- Politician Portrayal
-35% Negative
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Bias Score Analysis
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
-21% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
50% : " Political strategist Tim Miller, a former Republican, on MSNBC on Wednesday: "Trump wants to continue to argue that he really won in 2020...44% : She voted to impeach Trump along with nine other Republicans afterward.
33% : The Senate ultimately acquitted Trump, falling short of the two-thirds majority required for a conviction.
32% : Former GOP Representative Liz Cheney issued a new rebuke of Donald Trump on Wednesday after the president signed an executive order launching an investigation into Chris Krebs, an official in his first administration.
28% : Dozens of legal challenges brought by Trump and his allies also failed in court, including when reviewed by judges appointed by the Republican president.
18% : In his comments, Trump described Krebs sarcastically as a "wise guy," claiming that the 2020 election was a "disaster.
13% : Trump was impeached on January 13, 2021, by the House, with Cheney backing the effort.
11% : In response, Trump backed a primary challenger, to whom Cheney lost in the 2022 midterms.
10% : " Trump fired Krebs a few days later and continued to insist that the election had been "stolen" in favor of Joe Biden.
8% : "In a special mix of incompetence and evil, Trump has combined his disastrous implementation of 1930s tariff policies with Stalinesque targeting of political adversaries.
*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.