Kamala Harris enjoys more 'dark money' support than Trump -
- Bias Rating
42% Medium Conservative
- Reliability
75% ReliableGood
- Policy Leaning
50% Medium Conservative
- Politician Portrayal
27% Positive
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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
76% Positive
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
60% : "Harris, who is polling neck-and-neck with Trump, is also being boosted heavily by the League of Conservation Voters environmental group, the left-wing American Bridge 21st Century PAC, and other dark money groups, filings show.49% : That's because super PACs often receive large transfers from nonprofit organizations that are affiliated with them and registered under 501(c)(4), a section of the IRS code that allows "social welfare" groups to receive tax-exempt status and not disclose their donors.
40% : "As far as Trump, the former president is being supported by super PACs that have raised around $23.2 million from dark money groups, Sludge found.
38% : Harris, who has a massive cash advantage ahead of Election Day, is being boosted eight times more by dark money groups than Trump is, Federal Election Commission filings show.
36% : She has said dark money is "manipulating the election process," declaring previously, "Trump has megadonors, huge corporations, and dark-money PACs willing to cut blank checks to buy him four more years in power.
35% : Organizations in this category include dozens of super PACs responsible for almost 90% of spending this election cycle on independent expenditures supporting targeting Trump or Harris, according to an analysis by Sludge, a website tracking money in politics.
*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.