FIRS warns against politicising Nigeria's tax collection system
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-26% Somewhat Left
- 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
5% Positive
- Liberal
- 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:
64% : The agency also highlighted ongoing national tax reforms driven by the Presidential Committee on Fiscal Policy and Tax Reforms, describing them as essential to Nigeria's economic modernisation and grounded in transparency and efficiency.60% : This expanded and competitive ecosystem, it said, is designed to make tax payments more convenient and efficient for Nigerians.
51% : In a statement, signed by Arabinrin Aderonke Atoyebi, Technical Assistant on Broadcast Media to the Executive Chairman of FIRS, in response to commen by former Vice President, Atiku Abubakar, the agency stressed that it does not operate any exclusive or single-gateway arrangement for tax collection.
37% : The FIRS urged political actors to avoid misrepresenting routine administrative procedures, stressing that Nigeria's tax administration system is too critical to be subjected to misinformation or unnecessary controversy.
*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.
