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

Delhi HC quashes NHAI notification on recruiting lawyers based on CLAT-PG score

  • Bias Rating
  • Reliability

    40% ReliableAverage

  • Policy Leaning

    12% 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

20% Positive

  •   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:

50% : According to the petition filed by Shannu Bahgel, a lawyer, any score of a candidate in the Common Law Admission Test 2022 (Post Graduate) (CLAT-PG) cannot be made the basis for public employment, as it is conducted only for assessing the merit of the respective candidates holding an LLB degree to pursue a master's degree in law.
50% : The bench had previously observed that the rationale of the CLAT-PG exam was to assess merit for pursuing higher studies and not for public employment.
44% : He said CLAT-PG scores couldn't be made the basis of selection for public employment and argued the notification was "arbitrary and unreasonable" as it restricted public employment to the NHAI only for candidates who appeared for CLAT-PG for the year 2022 onwards. "The recruitment is restricted only to candidates who appeared in CLAT 2022 and onward PG, ignoring all other law graduates and practising advocates who are otherwise fully qualified.

*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