How Should Workers Respond to the Supreme Court's Ruling in "Glacier Northwest"?

Jun 01, 2023 View Original Article
  • Bias Rating

    8% Center

  • Reliability

    35% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    68% Negative

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

  •   Liberal
  •   Conservative
SentenceSentimentBias
"Agency by agency, they're progressing when they get the chance, as we saw this court do just last week to the Environmental Protection Agency, all but stripping it of any power at all to enforce the Clean Water Act."
Positive
6% Conservative
"Pre-Garmon (and pre-NLRA), state court interventions into labor disputes were almost uniformly disastrous for workers and unions, creating legal uncertainty, fear, and a tool for employers to impose ruinous liability on workers taking collective action."
Negative
-22% Liberal

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

53% : Agency by agency, they're progressing when they get the chance, as we saw this court do just last week to the Environmental Protection Agency, all but stripping it of any power at all to enforce the Clean Water Act.
39% : Pre-Garmon (and pre-NLRA), state court interventions into labor disputes were almost uniformly disastrous for workers and unions, creating legal uncertainty, fear, and a tool for employers to impose ruinous liability on workers taking collective action.

*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.

Copy link