Joint Economic Committee Chairman Beyer on February CPI Data

Mar 11, 2022 View Original Article
  • Bias Rating

    -2% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    4% Center

  • Politician Portrayal

    18% 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

N/A

  •   Conservative
SentenceSentimentBias
"Democrats are fighting for investments that insulate workers and families from energy price volatility by investing in clean energy and lower household costs for essentials like child care and health care."
Negative
-4% Liberal
"Thanks to investments put into place by President Biden and Democrats in Congress, our economy is recovering faster than predicted."
Positive
18% Conservative
"Congressman Don Beyer (D-VA), Chairman of the U.S. Congress Joint Economic Committee (JEC), released the following statement after the Bureau of Labor Statistics reported the February Consumer Price Index rose 0.8"
Positive
2% Conservative
"President Biden has released more oil from the Strategic Petroleum Reserve, and investigations into energy price gauging along with diplomatic efforts to increase production to replace Russian energy supplies have prevented gas prices from rising higher."
Negative
-2% Liberal

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

48% : "Democrats are fighting for investments that insulate workers and families from energy price volatility by investing in clean energy and lower household costs for essentials like child care and health care.

*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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