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Man Who Posed As 49ers Player Busted For Elaborate Dating Scam: Feds
Federal prosecutors say the men used dating apps and fake investment claims to steal $1.3 million from at least 26 women.
- Federal prosecutors in Portland, Oregon, charged Daejon Labrayae Love, 35, and Taylor Jamie Chan, 18, with wire fraud and conspiracy after their arrest on Monday at the Boise Airport for allegedly scamming women out of $1.3 million.
- Love allegedly posed as a San Francisco 49ers wide receiver on dating apps to cultivate romantic relationships, while Chan falsely acted as his financial adviser to convince victims to invest in fraudulent schemes.
- The pair hosted FaceTime calls showing victims falsified investment gains and instructed women lacking cash to secure personal loans, promising quick repayment, according to the United States Attorney's Office in Portland.
- Investigators identified at least 26 potential victims across four states, with Love frequently flaunting a lavish lifestyle on Instagram, including claims about a $500,000 car and $300,000 Lamborghini.
- Appearing in a Portland court on Thursday, the men faced initial charges as the FBI continues to investigate the scope of the alleged fraud across multiple states.
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Have you dreamed of a life as an elite athlete? Daejon Love is suspected of having turned his dream into a scam – and defrauded 26 women of nearly 13 million kronor.
·Stockholm, Sweden
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Man scams women out of $1.3 million by posing as 49ers player
Nov 12, 2018; Santa Clara, CA, USA; A general overall view of the San Francisco 49ers logo at midfield at Levi's Stadium prior to the game against the New York Giants. Mandatory Credit: Kirby Lee-USA TODAY Sports A 35-year-old man successfully defrauded women out of $1.3 million by, in part, posing as a San Francisco 49ers wide receiver on social media. Daejon Labrayae Love, 35, is facing charges of wire fraud and conspiracy to commit wire fraud…
Coverage Details
Total News Sources15
Leaning Left3Leaning Right5Center6Last UpdatedBias Distribution43% Center
Bias Distribution
- 43% of the sources are Center
43% Center
L 21%
C 43%
R 36%
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