How We Calculate African Sentiment
The AfriPulse Index™ uses advanced AI and natural language processing to analyze millions of data points daily, providing the most comprehensive view of public sentiment across African nations.
Our Data Sources
We aggregate and analyze data from multiple authoritative sources to ensure accuracy and comprehensiveness.
News Sources
We analyze over 500 African news outlets, international publications covering Africa, and local language media across all 54 countries.
Social Media
Real-time sentiment analysis from Twitter/X, Facebook, and local social platforms, weighted by engagement and verified accounts.
Economic Indicators
Currency exchange rates, stock market performance, inflation data, and foreign direct investment figures from official sources.
Official Reports
Government announcements, policy documents, election data, and international organization reports (IMF, World Bank, AU).
The Four Pillars
Each country's sentiment is measured across four key dimensions, weighted equally to produce the overall score.
Economy Score
Measures public and market sentiment toward economic conditions
Politics Score
Tracks confidence in governance and political stability
Social Score
Reflects public mood on quality of life and social issues
Technology Score
Gauges innovation adoption and digital transformation sentiment
Score Calculation
Note: Each category score ranges from 0-100, where 0 represents extremely negative sentiment and 100 represents extremely positive sentiment. A score of 50 is considered neutral.
Our Principles
Balanced Weighting
Each source is weighted based on reliability, reach, and verification status. Official sources carry more weight than social media speculation.
Bias Detection
Our AI models are trained to identify and filter out propaganda, fake news, and coordinated inauthentic behavior.
Real-Time Updates
Scores are recalculated hourly to reflect the latest developments and shifting sentiment patterns.
Historical Context
Current scores are contextualized against historical data to identify trends and anomalies.
Trend Classification
Rising
Score increased by 5+ points over the past 7 days, indicating improving sentiment.
Falling
Score decreased by 5+ points over the past 7 days, indicating declining sentiment.
Stable
Score changed less than 5 points in either direction over the past 7 days.
Volatile
Large swings in score (10+ points) in multiple directions within the past 7 days.
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