Republic World Article RatingMissed PAN-Aadhaar Link Deadline? Here's What Changes From January 1, 2026
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
36% Somewhat Right
- Politician Portrayal
N/A
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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
-9% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
60% : The process can be completed through the Income Tax Department's online portal.53% : This applies to taxpayers who are required to link PAN with Aadhaar under existing income tax provisions.
45% : Image: Republic Individuals who failed to link their Permanent Account Number (PAN) with Aadhaar by the December 31, 2025 deadline will face operational restrictions from January 1, 2026, as per Income Tax Department rules.
43% : An inoperative PAN is not considered valid for tax or financial use until the linkage is completed.
41% : Once a PAN becomes inoperative, individuals may face difficulties in carrying out routine financial and tax-related activities.
40% : These include: Entities that require PAN for compliance purposes may reject transactions if the PAN is inactive. Also read: Day After AGR Setback, Vodafone Idea Shares Rise Over 5% In cases where PAN is not operative, tax deducted or collected at source (TDS/TCS) may be charged at higher rates, as applicable under income tax rules for transactions without a valid PAN.
*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.