Stakeholders Seek Stronger Protection For N24.6trn Pension, N3.3trn Insurance Assets
- Bias Rating
- Reliability
40% ReliableAverage
- 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
41% Positive
- Liberal
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:
61% : Stakeholders in the insurance and pension sectoral value chain are calling for stronger regulatory frameworks to boost and protect the country's N24.6 trillion pension fund assets and N3.3 trillion Insurance assets.52% : Moreover, the chairman of Rex Insurance Limited, Ike Chioke, who is also the group managing director (GMD) of Afrinvest Limited, emphasised the need to strengthen the frameworks to ensure long-term economic stability and financial inclusion while delivering a paper on 'Strengthening Insurance and Pension Frameworks for a Better Economy'. Chioke, represented by the group deputy managing director(GDMD), Afrinvest Limited, Victor Ndukauba, commended the association for its role in advancing public understanding of the insurance and pension sectors.
*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.