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Texas congressional delegation calls for federal investigation into H-1B visa fraud
Lawmakers want coordinated federal action, citing alleged fraud that they say distorts labor markets, suppresses wages and exposes oversight gaps.
- U.S. Rep. Beth Van Duyne and North Texas colleagues Rep. Ronny Jackson, Rep. Brandon Gill, and Rep. Pat Fallon called for a coordinated federal investigation into alleged H-1B visa fraud in their region.
- Lawmakers argue that manipulated visa pathways distort local labor markets, suppress wages, and erode trust in lawful immigration processes, prompting concern about localized exploitation in North Texas.
- The U.S. Attorney for the Northern District is prosecuting a case involving Pakistani nationals charged with defrauding the H-1B program, money laundering, and racketeering, revealing systemic weaknesses.
- Gov. Greg Abbott directed state agencies in January to freeze H-1B visa petitions and launch a program review, while the Office of Attorney General investigated North Texas businesses.
- Nationwide data shows more than 70% of H-1B holders are from India, with China second, as the Trump administration conducts a massive review and overhaul of USCIS visa programs.
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Watauga Democrat+26 Reposted by 26 other sources
Texas congressional delegation calls for federal investigation into H-1B visa fraud
(The Center Square) – U.S. Rep. Beth Van Duyne, R-TX, and her north Texas colleagues have called for a federal investigation into alleged H-1B visa fraud occurring in counties they represent.
·Calhoun, United States
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TX congressional delegation calls for federal investigation into H-1B visa fraud
U.S. Rep. Beth Van Duyne, R-TX, and her north Texas colleagues have called for a federal investigation into alleged H-1B visa fraud occurring in counties they represent. Similar to the alleged Somali welfare fraud in Minnesota and hospice fraud in Los Angeles, Van Duyne argues north Texas is grappling with an H-1B visa fraud problem...
Coverage Details
Total News Sources29
Leaning Left4Leaning Right7Center6Last UpdatedBias Distribution41% Right
Bias Distribution
- 41% of the sources lean Right
41% Right
L 24%
C 35%
R 41%
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