How to Fix the Way U.S. Government Spends Billions
- Bias Rating
- Reliability
80% ReliableGood
- Policy Leaning
-8% Center
- Politician Portrayal
-1% 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
10% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
56% : Recent experiments with procurement reform in California and New York are showing how the government can do a better job of supporting new ideas and keeping pace with technology, in fields such as artificial intelligence and climate change.54% : Elon Musk and Vivek Ramaswamy will lead a new Department of Government Efficiency in Donald Trump's incoming administration.
52% : She has also worked as an independent consultant for state and federal governments.
50% : First, a quick tutorial on how government contracting usually works: Contractors compete for government business by responding to requests for proposals that outline the details of projects and products the government wants to buy.
49% : Start-ups that try to compete for government business often flounder while waiting for a decision, a phenomenon known as the valley of death, a tongue-in-cheek reference to the Defense Department's notoriously protracted procurement process.
47% : Procurement reform is not easy, requiring carefully considered legal, political and, perhaps most important, cultural change.
45% : Today this power is known as the other transaction authority and is typically used to structure technology competitions to draw in vendors new to government contracting.
*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.