Understand the bias, discover the truth in your news. Get Started
News18 Article Rating

NIA Arrests Another Aide Of Delhi Car Bomber, Was Involved In Modifying Drones, Making Rockets

  • Bias Rating
  • Reliability

    45% ReliableAverage

  • Policy Leaning

    20% Somewhat 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

-44% Negative

  •   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:

48% : NIA has also forensically confirmed that the charred remains recovered from the blast site belonged to Umer un Nabi, an assistant professor at Al Falah College of Medical Science and Research Centre who was simultaneously working for a Jaish-linked terror module preparing large-scale attacks across India.
46% : The National Investigation Agency (NIA) on Monday said it has arrested another close associate of Delhi car bomber Umer un Nabi as the probe escalates in the case linked to the Red Fort blast that killed 10 people and injured 32 earlier this month.
46% : Investigators say Jasir was an active co-conspirator who worked closely with suicide bomber Umer un Nabi, helping him prepare for the strike that shook the national capital on November 10. Jasir's arrest comes just a day after the NIA picked up Amir Rashid Ali, another associate of Umer un Nabi, in what the agency described as a "major breakthrough" in the case.

*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