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10,000 foreign students, including Indians, under ICE scanner for OPT fraud

  • Bias Rating

    -46% Medium Left

  • Reliability

    55% ReliableAverage

  • Policy Leaning

    -52% Medium Left

  • Politician Portrayal

    -59% Negative

Bias Score Analysis

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

Overall Sentiment

-29% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

38% : Also Read 'I don't trust Pakistan', says Trump's close political ally Lindsey Graham Stopping Iran's nuclear program outweighs Americans' economic pain: Trump Trump set to meet Xi in Beijing as war, inflation weigh on his presidency Tariff refunds of $35.5 billion cleared for importers after US SC ruling Trump admin moves to widen fertility benefit access under new rule Lyons and other officials outlined how federal investigators conducted site visits, identifying, among other things, cases where OPT beneficiaries were being "managed" by employees based in India, in violation of a provision of the programme requiring US training and direction.
35% : The US Immigration and Customs Enforcement (ICE) said it has identified 10,000 foreign students, including several from India, who claim to be working for highly suspect employers by misusing the Optional Practical Training (OPT) component of their visas.
34% : Addressing a press conference on Tuesday, acting Director of ICE Todd Lyons said the OPT component of the student visa programme has "become a magnet for fraud" and has been the subject of many investigations by the Department of Homeland Security.

*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.

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