Dems launched onslaught of schemes slammed as tactics to undermine democracy ahead of high-stakes election
- Bias Rating
50% Medium Conservative
- Reliability
60% ReliableFair
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
-30% 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
22% Positive
- Liberal
- Conservative
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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:
35% : The Colorado case ultimately made its way to the U.S. Supreme Court, which unanimously sided with Trump that he should remain on the state's ballot.35% : 'TERRIBLE MESSAGE': GOP LAWMAKER FUMES AFTER ONLY 5 HOUSE DEMS SUPPORT BILL REQUIRING CITIZENSHIP TO VOTEMark Krikorian, the executive director of the Center for Immigration Studies, told Fox News Digital this year that illegal immigration "distorts the mechanics of democratic government" and may significantly impact states' representation in the House of Representatives and Electoral College.
23% : Before the Republican Party officially nominated Trump as its presidential nominee, Democrats in states such as Colorado, California, Illinois and others attempted to remove Trump's name from primary ballots.
20% : Last year, a group of Colorado voters brought a lawsuit arguing Trump should be deemed ineligible from holding political office under a Civil War-era insurrection clause and that his name should thus be barred from appearing on the 2024 ballot.
17% : Gray had been battling Democrats' argument that Trump was ineligible to appear on the primary ballots over Jan. 6 for months ahead of the Supreme Court decision.
15% : "In 2012, Trump also panned the electoral system, calling it "a disaster for a democracy."
*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.