Issues around digital rights are increasingly crucial to citizens’ power in public communication, and for their control of economic and financial resources. However, little is known in contexts in the ‘Global South’ about the processes that harvest, operationalise and commercialise data, and how they relate to citizens’ rights and agency.
In the economic realm, datafication processes are most visible in the proliferation of digital platforms providing a wide range of financial services. Data analytics are now used to create digital footprints and credit scores for consumers and informal entrepreneurs, driving a shift from the digitisation of payments to the wider ‘datafication’ of citizens.
In the communications sphere, social media platforms can profile users to target advertisements and services. Algorithms provide personalised information that may align with users’ existing preferences. However, they also reflect biases, and can help create ‘echo chambers’ that limit exposure to alternative views.
Most emerging research has focused exclusively on Anglo-American countries and developed economies, paying little attention to issues of algorithmic governance and data extractivism in the ‘Global South’. However, regions like East Africa are hardly peripheral to issues of datafication.
There are four key reasons behind our choice of Kenya, Ethiopia and Somalia as a starting point for examining these processes.
1) East Africa has long served as a laboratory for technological innovation and experimentation – sometimes led by actors in the region, sometimes by external forces. 2) local context is clearly important, but we know very little about how different languages, culture and norms of online engagement affect processes of datafication. 3) datafication processes are taking place rapidly, appearing to profoundly shape communications and finance in East Africa. 4) social, economic and geopolitical stakes are high and contestable. Questions around who owns data, who has access to it, and through what infrastructure are not necessarily clearly defined or easily answered.
Learn more: Data and Datafication website