Uncertainty In Varsities As ASUU 14-Day Ultimatum Ends Today
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
-10% Center
- 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
4% 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:
51% : Among ASUU's key demands are the implementation of the 2022 renegotiated agreement, improved funding for public universities, and the settlement of outstanding earned academic allowances.49% : When LEADERSHIP Weekend asked about the union's next line of action as the deadline drew to a close, ASUU President, Professor Chris Piwuna, simply said, "No comment." However, it was gathered from credible sources within the union that ASUU's National Executive Council (NEC) may convene after the expiration of the ultimatum to decide on the next steps. ASUU had earlier begun full mobilisation of its members across universities in preparation for possible industrial action.
44% : There is uncertainty in public universities across Nigeria as the 14-day ultimatum issued by the Academic Staff Union of Universities (ASUU) to the federal government expires today.
*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.