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The state's new political power duo -- Maura Healey and Andrea Campbell - The Boston Globe

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Source The Boston Globe bias rating
Published Sep 07, 2022
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
N/AN/A
Bias Rating
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The Bias Rating is computed based on a number of factors including bias loaded words, sentiments towards certain political policies, author bias towards politicians, and the amount of tone found in the article.

-10% Center

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-100%
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100%
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*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.

Policy Leaning
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The policy leaning score is derived from author biases for or against a certain political policy, as found in articles.

N/A

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-100%
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100%
Conservative

*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.

Politician Portrayal
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The politician leaning score is determined by the author's tone and leaning towards the specific politician mentioned in the article.

64% Negative

Overall Sentiment

N/A

Opposite Viewpoint
Category
Topic

Reliability Score Analysis

The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.

  • Opposite Sources as Poor for the lower number of sources with different viewpoints.
  • Unique Sources as Poor for the lower number of different sources.
  • Multiple Sources as Poor for the lower number of total sources.
  • Multiple Quotes as Poor for the lower number of quotes used in the article.
  • Quote Length as Poor for the lower number of words used in each quote.

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.

Politician Portrayal Analysis:

This article includes the following Politician Portrayal sentiments, providing an average sentiment of 64% Negative and bias score of 10% Conservative:

1 negative sentiment and 1 positive sentiment for Charlie Baker
4 negative sentiments and 1 positive sentiment for Elizabeth Warren

Politicians:

Charlie Baker
Elizabeth Warren

Sentiments

6% Outgoing Republican Governor Charlie Baker is all in with Amore as a way to keep a beachhead for pragmatic Republicanism in Massachusetts."
2% That clearly helped Campbell withstand the late out-of-left-field endorsements that Wu and Warren bestowed on Liss-Riordan."
-8% In her own well-crafted victory speech, Healey sounded a bipartisan note, citing Baker's results-oriented, reach-across-the-aisle example."
-12% Diehl lost to Senator Elizabeth Warren by 24 percentage points."
-14% For her part, Warren's endorsement rendered her past criticism of candidates who try to buy races with their personal fortunes look like just so ..."
-20% It pitted the clout and coattails of Healey against those of Boston Mayor Michelle Wu and US Senator Elizabeth Warren."
-26% Add this strange endorsement to Warren's poorly conceptualized 2020 presidential run, and her third-place finish in her home state's 2020 presidential primary, and it ..."
-100% """

*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

% :

*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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