Researcher Featured in '2000 Mules' Documentary Explains How Local Election Fraud Was Grown to National Scale
- Bias Rating
58% Medium Conservative
- Reliability
N/AN/A
- Policy Leaning
-6% Center
- Politician Portrayal
58% Positive
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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
N/A
- Liberal
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
47% :"I think the greatest challenge we faced was we really believed we could get our work to a point to where it was clear there is a problem, that using our data" collected by the same technology "routinely used by law enforcement would be impetus enough for key officials to say, 'This is something we should look into,'" Englebrecht said.*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.