How local high-tech crime units are tracking and seizing stolen cryptocurrency
- Bias Rating
-40% Somewhat Liberal
- Reliability
N/AN/A
- Policy Leaning
40% Somewhat Conservative
- Politician Portrayal
-18% 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
N/A
- 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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100%
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Contributing sentiments towards policy:
58% : Requests from all U.S. law enforcement more than doubled, from 1,197 to 2,727, from the second half of 2020 to the first half of 2021, with state and local requests showing the most growth in that period.56% : Local law enforcement are gaining the tools and expertise necessary to track and seize cryptocurrency.
53% : The vast majority of legal requests like warrants and subpoenas to Coinbase, the largest American cryptocurrency exchange, come from federal law enforcement agencies, according to the company's two most recent transparency reports.
52% : But because the digital ledgers that facilitate cryptocurrencies are public, law enforcement has in recent years begun to gain the expertise necessary to track cryptocurrencies, leading to bitcoin and ethereum playing a role in a significant number of criminal cases.
51% : West is one of a growing number of state and local prosecutors and law enforcement officials who have embraced a handful of digital tools that can monitor blockchains, the digital ledgers that track every transaction for most cryptocurrencies.
51% :Ben Suver, the director of law enforcement initiatives at the Ohio Department of Public Safety, said that the agency's statewide Narcotics Intelligence Center has received funding for blockchain tools to take on more dark web drug cases.
*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.