
Feds reach settlement with Facebook over discrimination claims against U.S. workers
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-8% Center
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*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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*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.

28% Negative
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Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Poor for the lower number of sources with different viewpoints.
- Unique Sources as Poor for the lower number of different sources.
- Multiple Sources as Poor for the lower number of total sources.
- Multiple Quotes as Poor for the lower number of quotes used in the article.
- Quote Length as Poor for the lower number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 0% Poor (Grade F) Multiple Sources: 0% Poor (Grade F) Multiple Quotes: 0% Poor (Grade F) Quote Length: 0% Poor (Grade F)
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.
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Policy Leaning Analysis
This article includes the following sentiments, providing an average bias score of N/A:
- 1 positive sentiment and 1 negative sentiment for Anti-Discrimination Laws.
"On a call with reporters, Assistant Attorney General Kristen Clarke for the Civil Rights Division said the settlement was historic in that it represents the largest fine and monetary award that the Division has recovered in the 35-year history of the anti-discrimination provision."
"Facebook, the department alleged, "used recruiting methods designed to deter U.S. workers from applying to certain positions," adding, "Facebook's hiring process for these positions intentionally discriminated against U.S. workers because of their citizenship or immigration status, in violation of the anti-discrimination provision of the Immigration and Nationality Act (INA).""
Policies:
Anti-Discrimination LawsSentiments
- Liberal
- Conservative
-8% "Facebook, the department alleged, used recruiting methods designed to deter U.S. workers from applying to certain positions, adding, Facebook's hiring process for these positions ..."
*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. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
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Contributing sentiments towards policy:
54% : On a call with reporters, Assistant Attorney General Kristen Clarke for the Civil Rights Division said the settlement was historic in that it represents the largest fine and monetary award that the Division has recovered in the 35-year history of the anti-discrimination provision.46% : Facebook, the department alleged, "used recruiting methods designed to deter U.S. workers from applying to certain positions," adding, "Facebook's hiring process for these positions intentionally discriminated against U.S. workers because of their citizenship or immigration status, in violation of the anti-discrimination provision of the Immigration and Nationality Act (INA)."
*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.