US Commits $162 Million to Boost Microchip Technology's Semiconductor Production

  • Bias Rating

    -10% Center

  • Reliability

    50% ReliableFair

  • Policy Leaning

    N/A

  • Politician Portrayal

    10% Positive

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

Overall Sentiment

26% Positive

SentenceSentimentBias
"Raimondo anticipates making approximately a dozen awards this year, signaling continued support for semiconductor development in the United States."
Positive
30% Conservative
"Through smart investments in domestic production facilities, the Biden administration hopes to alleviate semiconductor scarcity and boost national capabilities."
Positive
16% Conservative
"The Biden administration is exploring measures such as tariffs to counter low prices from Chinese chipmakers while also assessing legacy chip supply chains."
Negative
-2% Liberal
"This aouncement comes as the Biden administration focuses on boosting the production of old models, crucial for various industries, amid China's aggressive advancements in the semiconductor sector."
Negative
-6% Liberal
"Commerce Secretary Gina Raimondo has underscored the potential for long construction delays due to permitting issues and highlighted ongoing efforts to streamline the review process, according to Business Times."
Negative
-6% Liberal
"Gina Raimondo, the secretary of commerce, underlined how crucial this funding is to fortifying the supply chain for outdated semiconductors."
Negative
-22% Liberal

Bias Meter

Extremely
Liberal

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Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

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*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.

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