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mLive Article Rating

6 Democrats hope to represent Ypsilanti area in primary for Michigan State House seat

  • Bias Rating
  • Reliability

    N/AN/A

  • Policy Leaning

    -50% Medium Left

  • Politician Portrayal

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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

Overall Sentiment

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  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

65% : I support using energy efficient technology and renewable energy options.
63% : I believe that the state should be investing heavily in the development of renewable energy infrastructure, as well as incentivizing energy efficient development.
60% : What is your position on energy efficiency and renewable energy?
57% : -Polluters should pay for environmental clean ups -Invest in Clean/Renewable energy -Restore and Preserve our parks and natural resources -Advocate for federal dollars for charging stations for all-electric vehicles SOCIAL JUSTICE:
56% : Wilson: -Invest into community organizations that are working on violence intervention -Raise the age on purchasing a firearm to 21 -Put in place universal background checks and red flag laws
46% : Averill: The state should increase the budgetary spending for public schools across the board, but particularly those with high levels poverty.
41% : Casey: Safe gun laws and an increase in neighborhood watch program to emphasize and report radical or unstable individuals or groups to authorities McCoy: I think that there needs to be a ban on assault weapons, more programs to buy back illegal guns with no questions asked, there needs to be more thorough background checks to ensure that guns don't get into the hands of the wrong people and more male mentoring programs.

*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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