For trusted elections, we should model 2020

Source: The Hill - View Original Article
Published: Feb 22, 2021
Category:
A.I. Bias Rating :

6% Conservative

Extremely
Liberal

Very
Liberal

Moderate-left

Moderate

Moderate-right

Very
Conservative

Extremely
Conservative

-50%

50%

*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 -50% to 50% 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.

Policy Leaning:

5% Conservative

Extremely
Liberal

Very
Liberal

Moderate-left

Moderate

Moderate-right

Very
Conservative

Extremely
Conservative

-50%

50%

*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 -50% to 50% 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.

Politician Portrayal:

10% 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 -50% to 50% with higher negative scores being more liberal and higher positive scores being more conservative.


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Policy Leaning Analysis:

This article includes the following sentiments, providing an average bias score of 5% Conservative:

  • 1 negative sentiment for Iran



Policies:

Iran

Sentiments

  •   Conservative
-5% "This means that actionable intelligence regarding threats to our elections from our adversaries like Russia, China and Iran must be released from the restricted ..."


*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 -50% to 50% 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

Moderate-left

Moderate

Moderate-right

Very
Conservative

Extremely
Conservative

-50%

50%

Contributing sentiments towards policy:

45% : This means that actionable intelligence regarding threats to our elections from our adversaries like Russia, China and Iran must be released from the restricted halls of classified departments and put in the hands of election officials, state and county IT officials and private sector companies who can defend these systems.

*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 -50% to 50% 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.

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