Candidate Q&A: State House District 35 -- Nathan Takeuchi

Aug 14, 2022 View Original Article
  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    20% Somewhat Conservative

  • Politician Portrayal

    -16% Negative

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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

61% : For example, we can consider higher education grants for students pursuing a career in law enforcement; signing bonuses for first-time law enforcement officers; and a student loan forgiveness program for officers.
49% : We should also consider creating a grant program to reimburse law enforcement agencies for the cost of recruitment and retention incentives they may offer and consider recruiting from retired law enforcement officers by allowing them to work again without having their pensions penalized.

*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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