
How Contingent Faculty Organizing Can Succeed in Higher Education - CounterPunch.org
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-20% Somewhat Left
- Politician Portrayal
-52% Negative
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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
N/A
- Liberal
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
58% : "Why on earth would a union representing adjuncts side with private colleges being sued for wage theft for not paying adjuncts for all of the hours worked outside of class?" asks Keith Hoeller, a Part-Time Faculty Association organizer in Washington state and editor of Equality for Contingent Faculty: Overcoming the Two-Tier System.52% : "It's still not clear to me that AB 736 actually raises pay for current adjuncts at private colleges or will do so in the future.
*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.