We can't ignore the human rights issues plaguing the World Cup and its host country, Qatar

Nov 26, 2022 View Original Article
  • Bias Rating

    -12% Somewhat Liberal

  • Reliability

    N/AN/A

  • Policy Leaning

    10% Center

  • Politician Portrayal

    22% 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

N/A

  •   Conservative
SentenceSentimentBias
"There was lots of cloying talk about unity in a country where same-sex relationships are criminalized, where a Qatari event ambassador recently called same-sex relationships damage in the mind and where women must ask for permission from a male guardian to study abroad, travel, work or seek certain kinds of reproductive health care."
Negative
-20% Liberal
"Taking a stand in Iran: Women's rights and children's rights are human rightsMost visible of those violations related to the World Cup, however, are the ones suffered by migrant workers."
Negative
-32% Liberal

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

40% : There was lots of cloying talk about unity in a country where same-sex relationships are criminalized, where a Qatari event ambassador recently called same-sex relationships "damage in the mind" and where women must ask for permission from a male guardian to study abroad, travel, work or seek certain kinds of reproductive health care.
34% : Taking a stand in Iran: Women's rights and children's rights are human rightsMost visible of those violations related to the World Cup, however, are the ones suffered by migrant workers.

*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.

Copy link