Lina Khan's FTC era ends; Andrew Ferguson named chair
- Bias Rating
-2% Center
- Reliability
45% ReliableFair
- Policy Leaning
N/A
- Politician Portrayal
53% Positive
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By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
15% Positive
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
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100%
Conservative
Contributing sentiments towards policy:
50% : Khan, whose term expired in September but who has remained in the role, sat down with TechCrunch last June, where she addressed some of those critics, saying: "[If] you are a startup or a founder that is eager for an acquisition as an exit, I would think that a world in which you have six or seven or eight potential suitors is a better world than one where you have just one or two."Ferguson, who was earlier a Congressional aide and Supreme Court clerk, will be "the most America First, and pro-innovation FTC Chair in our Country's History," Trump wrote Tuesday.*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.