Black Friday Sale - 50% Off. Subscribe
South Africa Today Article Rating

SAHRC Finds Racial and Gender Discrimination in Hartbeespoort Dam Land Allocation - South Africa Today

  • Bias Rating
  • Reliability

    40% ReliableAverage

  • Policy Leaning

    -10% Center

  • 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

-28% Negative

  •   Liberal
  •   Conservative
SentenceSentimentBias
Unlock this feature by upgrading to the Pro plan.

Bias Meter

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

63% : "Indeed, the South African Human Rights Commission received a complaint relating to unfair discrimination on the ground of race when it comes to accessing state land along the shorelines of Hartbeespoort Dam," Mlombo stated.
60% : An official investigation has found evidence of unfair racial and gender discrimination in the allocation of state land leases along the shorelines of the Hartbeespoort Dam, the South African Human Rights Commission (SAHRC) confirmed today.
59% : "In the commission's investigation, we found that indeed there was evidence of unfair discrimination on the ground of race and gender.
59% : " Mlombo explained that this discrimination stemmed from the failure of the Department of Water and Sanitation to fulfill its constitutional duty to promote equality and ensure equitable access to resources.
41% : These failures included not enacting or enforcing relevant bylaws concerning development, building regulations, and noise pollution.

*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.

Category
Topic
Copy link