TIMEElection Workers Face Surge of Cyberattacks
- Bias Rating
Center
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
24% 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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Liberal
Somewhat Liberal
Center
Somewhat Conservative
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Very
Conservative
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
49% : "This kind of phishing targeting state and local election worker -- which is often unsophisticated but effective -- has long been a concern for law enforcement and cybersecurity officials.46% : Local law enforcement needs to get more involved in "protecting election workers themselves, ensuring that they're not being doxed, or their public information or their personal contact information is being released so they get more threats," former CISA director Chris Krebs said in a "Face the Nation" interview earlier this month.
*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.