Editorial: Property tax relief on May 7 ballot should get voters' support

May 08, 2022 View Original Article
  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    86% Very Conservative

  • Politician Portrayal

    4% Positive

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

  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

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:

50% : For some homeowners, including many in Austin, however, modest savings will likely be negated or dwarfed by tax bills expected to climb due to soaring property values.
48% : Still, the measures would provide at least some relief without hurting state public education budgets, which is why we recommend voters approve Propositions 1 and 2.
44% : To truly alleviate the tax burden on homeowners, state lawmakers should study other potential sources of revenue, including closing corporate tax loopholes, raising taxes on alcoholic beverages and applying the sales tax to some services that are currently exempt, such as legal services, marketing research and architectural services.
25% : While we support the propositions, neither would fix our state's problematic approach to paying for public education, which relies heavily on taxes levied on residential home values, creating an unfair burden on homeowners.
25% : A confusing jumble of 77 words on the ballot, Proposition 1 would reduce the amount of taxes elderly and disabled homeowners pay to support public education.

*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.

Copy link