Washington Examiner Article RatingPost-COVID elections need a closer look and an overhaul
- Bias Rating
98% Extremely Conservative
- Reliability
N/AN/A
- Policy Leaning
-10% Center
- Politician Portrayal
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-100%
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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 |
|---|---|---|
| "Building on my international election work with the United Nations and the Organization for Security and Cooperation in Europe, I worked with the National Association of Secretaries of State to convene more than twenty of the country's top election officials soon after the Supreme Court's Bush v. Gore decision." | Positive | 10% Conservative |
| "Ahead of the meeting, the most powerful player in the process -- President Biden -- had yet to weigh in on the calendar." | Positive | 16% Conservative |
| "But Mike Czin, a longtime Democratic strategist and veteran of former President Barack Obama's 2012 re-election campaign and the Democratic National Committee, noted that there's broader reasons for the party to move on from the Iowa caucus and there are numerous states that can fill that important role.Iowa had numerous opportunities to reform and improve their election administration of the caucus and they failed." | Negative | -2% Liberal |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
55% : Building on my international election work with the United Nations and the Organization for Security and Cooperation in Europe, I worked with the National Association of Secretaries of State to convene more than twenty of the country's top election officials soon after the Supreme Court's Bush v. Gore decision.*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.