Election officials worry about their safety ahead of midterms
- Bias Rating
-40% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
-41% Negative
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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
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
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Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
49% : Physical security concerns have "really ramped up since 2020 because of threats that we've seen to state and local officials across the country," said Kim Wyman, the top election security official at the federal US Cybersecurity and Infrastructure Security Agency, which has encouraged election workers to report threats to law enforcement and is hiring more staff to advise election officials on physical threats.35% : Democratic Sens. Amy Klobuchar of Minnesota and Dick Durbin of Illinois on Thursday asked the FBI and the Department of Homeland Security to consider issuing a public service announcement to local law enforcement agencies "to ensure that they are aware of both the recent increase in these threats against election officials and federal resources for reporting and countering them.
*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.