
Wisconsin study finds voter ID does not suppress vote - Washington Examiner
- Bias Rating
-10% Center
- Reliability
80% ReliableGood
- Policy Leaning
-10% Center
- Politician Portrayal
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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
8% Positive
- Liberal
- Conservative
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Contributing sentiments towards policy:
58% : Furthermore, it's worth exploring whether Voter ID can actually increase turnout by strengthening confidence in Wisconsin's election system.52% : It found that a disparity existed in voter turnout between counties that were more racially diverse and other counties after the enactment of photo ID laws.
51% : " The Wisconsin Institute for Law and Liberty study found that socioeconomic factors such as poverty rates and education levels had a stronger correlation with voter turnout than voter ID laws.
50% : ON APRIL BALLOT "By analyzing decades of election data both before and after Wisconsin implemented Voter ID, we found a general rise in voter turnout, rather than the widespread disenfranchisement that critics often suggest," Flanders said in a statement.
50% : " Flanders's study found that once voter ID laws were enacted in Wisconsin, voter turnout increased by 1.5%.
42% : While it is likely too large of a leap to say voter ID has increased turnout due to the correlational nature of our analysis, it seems that there is no negative relationship," the study read.
39% : The study also found that voter ID laws had no significant effect on the turnout of nonwhite voters, contrary to critics' arguments as to what would happen if the law is enshrined in the state constitution.
38% : "Any claims suggesting Voter ID is 'voter suppression' are merely political scare tactics aimed at undermining faith in Wisconsin's elections.
*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.