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Why Southeast Asia's online scam industry is so hard to shut down | Headlines

  • Bias Rating
  • Reliability

    30% ReliableAverage

  • Policy Leaning

    50% Medium Right

  • Politician Portrayal

    N/A

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

-62% Negative

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Bias Meter

Contributing sentiments towards policy:

53% : Today, the UN Office on Drugs and Crime says labourers are recruited from at least 56 countries, ranging from Indonesia to Liberia.
47% : The United Nations Office on Drugs and Crime counted more than 340 licensed and unlicensed casinos in the region in 2021 alone.
47% : When the COVID-19 pandemic and strict travel restrictions cut off customers, some online casinos pivoted.
38% : New scam centres continue to surface across Southeast Asia and beyond.A United Nations report last year said scammers have extracted billions of dollars from victims using fake romantic relationships, bogus investment pitches and illegal gambling schemes, with operations reported as far away as Africa and Latin America.If we only rescue the victims and dont arrest anybody especially the Chinese mafia and transnational syndicates then there will be no point, said Jay Kritiya, coordinator of the Civil Society Network for Victim Assistance in Human Trafficking.They can get more victims.
33% : An estimated 120,000 people in Myanmar are being forced to work in online scam operations, along with another 100,000 in Cambodia, according to a 2023 report by the UN Office of the High Commissioner for Human Rights.
27% : A United Nations report last year said scammers have extracted billions of dollars from victims using fake romantic relationships, bogus investment pitches and illegal gambling schemes, with operations reported as far away as Africa and Latin America.

*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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