
Emerging firms will pitch over two days at 2024 Early Stage Symposium in Madison
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
-4% Center
- Politician Portrayal
N/A
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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
17% Positive
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Liberal
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Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
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Extremely
Conservative
-100%
Liberal
100%
Conservative

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.