How are votes counted in the US election?
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
50% Medium Right
- Politician Portrayal
-6% Negative
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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 -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
8% Positive
- Conservative
Sentence | Sentiment | Bias |
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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:
46% : This year, some expect the certification process to be drawn out by legal battles, including potentially numerous challenges from Trump and his political allies in Pennsylvania.24% : Trump is already questioning the trustworthiness of many of their voting processes and in 2020 he challenged the results of many of their votes in court.
14% : State electors came under intense scrutiny in 2020, when Trump and officials in seven states tried to use alternate, or "fake", electors to overturn his election loss.
*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.