Urban Milwaukee Article Rating

Emerging firms will pitch over two days at 2024 Early Stage Symposium in Madison

  • Bias Rating

    -4% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    -4% Center

  • 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

17% Positive

  •   Liberal
SentenceSentimentBias
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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:

52% : Communications, Marquette University, McClone, Michael Best, Microsoft, Morgridge Institute for Research, Neider & Boucher, One City Schools, ORIN Remediation Technologies, Quarles & Brady, Raven Software, Reinhart Boerner Van Deuren, RSM US, Ruder Ware, Sadoff E-Recycling & Data Destruction, SustainableHR PEO, State of Wisconsin Investment Board, Technology Entrepreneurship Office at UW-Madison, Technology Innovation Center - Milwaukee, UMOS One Workforce - TechStars, University Research Park, TriNet, UWM Research Foundation, UW-Madison Center for Dairy Research, UW-Madison Dept. of Computer Sciences, UW-Madison Office of Business Engagement, VC3, Venture Investors, von Briesen & Roper, Walmart, WIPFLi, Wisconsin Academy of Sciences, Arts & Letters, Wisconsin Alumni Research Foundation, Wisconsin Center for Manufacturing & Productivity, Wisconsin Counties Association, Wisconsin Dept. of Financial Institutions, Wisconsin Economic Development Corp., Wisconsin Energy Institute, Wisconsin Historical Society, Yahara Software and Ziegler Link-Age Funds.

*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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