FM introduces bills in Lok Sabha to levy duties, cess on tobacco, pan masala
- Bias Rating
- Reliability
25% ReliableLimited
- Policy Leaning
34% Somewhat Right
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
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
11% Positive
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
Unlock this feature by upgrading to the Pro plan. | ||
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:
50% : Additional levies on tobacco, pan masala and cigarettes will ensure that the total incidence of tax on these items remains the same once the GST rate of 40% on sin goods, as per the new rates announced in GST 2.0 are implemented after the loans are discharge.42% : "With the introduction of the Goods and Services Tax (GST) on 1st July, 2017, the Central Excise Act, 1944 was repealed by section 174 of the Central Goods and Services Tax Act, 2017, except in respect of goods listed under Entry 84 of List I of the Seventh Schedule to the Constitution.
41% : With the levy of GST and compensation cess on tobacco and tobacco products, the rates of Central Excise duties were reduced significantly to allow for the levy of compensation cess without large impact on their tax incidence," said a note on the The Central Excise (Amendment) Bill, 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.
