Republicans get an early warning about 2024 election in Ohio
- Bias Rating
10% Center
- Reliability
55% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-13% 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
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- Conservative
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Contributing sentiments towards policy:
44% : Dan Birdsong, a professor of political science at the University of Dayton, told Newsweek Monday that Republicans should be concerned about these polling numbers because they risk the perception of being extreme on abortion among an electorate that is generally in favor of reproductive rights."Democrats could use it to say, especially for those who have stated positions or support for what would be termed as extreme positions, it could translate over for greater support for Democrats," he said, noting that Democrats still have to walk a fine line to avoid the perception that they are also extreme on the issue.38% :Abortion rights became a critical issue for millions of voters across the United States after the Supreme Court's ruling in Dobbs v. Jackson Women's Health Organization, which overturned Roe v. Wade, the landmark case that legalized abortion on a federal level.
27% : Birdsong said Brown could use abortion as a way of dividing the electorate in his favor, though a more moderate candidate like businessman Matt Dolan winning the primary could neutralize the abortion issue.
24% : He said they could shift toward a position of being personally anti-abortion but against government intervention, but that voters may not trust them.
22% : He said the GOP's longstanding positioning of abortion may make it more difficult for Republicans to reconcile their differences on abortion with independent voters.
*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.