1990s Policing: Overrated or Underrated?
- Bias Rating
-10% Center
- Reliability
N/AN/A
- Policy Leaning
10% Center
- Politician Portrayal
-62% 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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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
44% : He has also witnessed the more recent rise of cellphone cameras documenting egregious police abuses, the ascendance of Black Lives Matter (a movement that perhaps saw its influence peak in 2020, in the aftermath of George Floyd's killing), and the dramatic increase in homicides that disproportionately ended Black lives in 2020 and 2021, culminating in a Democratic president who sounds a lot like he did in 1994.37% : Wide-ranging answers are welcome, whether about the politics of the issue, policy, or the rise and arguable decline of the Black Lives Matter movement.
28% :Of course, merely getting back to the comparably low murder rates of the Bush and Obama years would save many more Black lives than today's status quo, never mind the "defund" approach advocated by the ascendant faction in the Black Lives Matter movement.
24% : Biden talks like a man who believes himself to have solved this problem in 1994, only to have the nation forget what it took:This kind of rhetoric is dismaying to some Democrats, who associate their party's 1990s approach to criminal justice with mass incarceration and police abuses.
20% : "Solid data suggests that even if you take a realistic view of the police, spending money to hire more police officers -- an idea espoused by both Presidents Bill Clinton and Barack Obama -- is a sound approach to the multifaceted problem of criminal justice," Matt Yglesias argues in a 2019 article that goes deep in the weeds.
*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.