Forbes Article Rating

RTO And Revenue Growth, An AI Model For HR And How Executives Harm Diversity Goals

Nov 21, 2023 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    85% ReliableGood

  • Policy Leaning

    6% Center

  • Politician Portrayal

    22% 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
Unlock this feature by upgrading to the Pro plan.

Bias Meter

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:

55% : Click here to get it delivered to your inbox every Monday!ust as the debate seemed to be quieting down about whether work from home helps or hurts productivity, here comes new research that could arm workers with another argument for flexibility: Higher revenue growth.
55% : People with prior convictions can help build out the workforce, and, according to a study last year from the Society for Human Resource Management, 92% of workers said they are comfortable working alongside someone with a nonviolent criminal record.
49% : Despite there being a lot of talk that post-Labor Day mandates would usher in much higher occupancy rates -- and that workers aren't following the in-office requirements their companies are setting -- the typical hybrid policy in Scoop's data is actually roughly similar to the occupancy levels in Kastle's data.
45% : While none of the agreements passed overwhelmingly -- they were approved by 55% of GM workers, 68% of Stellantis workers and 68% of GM workers -- they all were approved nonetheless.

*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