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

Shocking! Four Assam players suspended for match-fixing in SMAT 2025

  • Bias Rating
  • Reliability

    65% ReliableAverage

  • Policy Leaning

    52% Medium 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

-25% 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:

56% : Four Assam players won't be allowed take part in any state-level tournaments or matches of ACA In their suspension period, these players won't be allowed to take part in any state-level tournaments or matches conducted by the ACA, its district units or affiliated clubs.
56% : The ACA secretary also added that they have directed all the district associations to ensure strict compliance with the order, and to inform clubs and academies under their jurisdiction of the ACA's decision.
46% : They have been suspended to curtail any scope of further deterioration of the situation," Sanatan Das, the ACA secretary, said.
43% : ACA has filed an FIR with the local police's crime branch against these four players.
36% : The ACA has also initiated criminal proceedings.
35% : In what has been the most shocking incident, the Assam Cricket Association (ACA) has suspended four players in Amit Sinha, Ishan Ahmed, Aman Tripathi and Abhishek Thakuri for match-fixing in the Syed Mushtaq Ali Trophy 2025.

*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
Copy link