Understand the bias, discover the truth in your news. Get Started
The Mercury News Article Rating

Oakland City Council clashes with finance director as 37 police vehicles idle at dealership

  • Bias Rating

    -24% Somewhat Liberal

  • Reliability

    50% ReliableAverage

  • Policy Leaning

    -24% Somewhat Liberal

  • Politician Portrayal

    N/A

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

4% Positive

  •   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:

61% : She previously worked in public finance at the city of Arlington, Texas, where she also received a master's degree in public administration, per her public profile.
55% : Roseman, whose 2021 hiring announcement called her a "seasoned finance professional," has handled top-level duties assessing the city's finances in the crucial years after federal coronavirus relief dried up.
49% : "The whole purpose of using (this) fund was to purchase equipment," said Dan Lindheim, a former Oakland city administrator who served during the Great Recession and now teaches public policy at UC Berkeley.
46% : Voters will decide whether to approve the tax measure on the April 15 special ballot, which along with electing a new mayor will find a new councilmember for the District 2 seat that Kaplan is currently filling on an interim basis.

*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