Trump Taps Truth Social CEO Devin Nunes to Chair Intelligence Advisory Board
- Bias Rating
50% Medium Conservative
- Reliability
60% ReliableFair
- Policy Leaning
54% Medium Conservative
- Politician Portrayal
4% 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
38% Positive
- Liberal
- Conservative
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Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
71% : In the post, Trump confirmed that Nunes would continue to hold his leadership position as CEO and Director of Trump Media and Technology Group while taking on the new role.57% : Trump wrote:I am pleased to announce that I will appoint Truth Social CEO Devin Nunes as Chairman of the President's Intelligence Advisory Board, which consists of distinguished citizens from outside of the Federal Government.
53% : President Reagan reinstated the PFIAB in 1981, and in 2008, President Bush rebranded it as the President's Intelligence Advisory Board.Board members are appointed by the president and are generally experts in areas such as national security, law, intelligence, military affairs, and public policy.
39% : More recently, Nunes allied with Trump during the FBI's raid of Mar-a-Lago.
27% : He described it as another example of the Democratic Party's attempt to politically target and "destroy" Trump.
23% : During his tenure in Congress, Nunes chaired the House Intelligence Committee, where he became a prominent defender of President Trump during the investigation into the "Russian collusion" hoax after the 2016 presidential election.
14% : Nunes successfully predicted Trump's federal indictment and criticized the Justice Department for "slow-rolling" evidence in an effort to manipulate public perception.
*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.