As on the global scene, information disorder in
sub-Saharan Africa has escalated as a result of
global connectedness and people’s increased
reliance on social media for news. The spread of
false information is also driven by fear, prejudice,
and a poor understanding of the issues.
Figure 1: Types of actors
identified as working to
combat information disorder
in sub-Saharan Africa
On the other hand, in many sub-Saharan African
countries, a lot of false information is spread by
word of mouth, even if the information originated
online. This is partly due to the relatively low levels of
digital access across the continent, and it reinforces
the need for information disorder strategies to have
both online and offline components. In countries
with high levels of digital access, such as in the
Global North, information disorder is generally
associated with having too much information.
Conversely, in sub-Saharan African countries, there
is the perception that a key enabler of information
disorder is insufficient information or lack of access
to credible information sources.
Further, the spread of false information by word
of mouth can also be associated with the tradition
in many African societies of using satire, humor, and
gossip as forms of political resistance. For instance,
in Kenya1 and Zimbabwe2 non-traditional forms of
political criticism played a big role in strengthening
democracy by creating a space for political criticism
aimed against oppressive ruling parties or regimes
(Hammett 2011; Hendricks 2019; Nyabola 2018).
However, this critical space can also facilitate the
spread of viral mis- or disinformation online, as
witnessed during the Covid-19 pandemic.
The poor data culture in sub-Saharan African
countries is also seen as exacerbating information
disorder, as there are limited or even in some cases
no national data to fill knowledge gaps in areas such
as politics, the economy, health, and education.
Most countries have weak or under-resourced
national statistics offices, data collection activities
are sporadic, and both state and industry actors are
generally reluctant to openly share data on their
activities. This makes it difficult or sometimes even
impossible to use facts to refute false information
or fill knowledge gaps.
3.2 TYPES OF ACTORS
Media and civil society organizations are by far the
most prevalent types of actors, at 35 percent each
of the seventy-nine identified actors. The remaining
actor types (see Figure 1) make up the other 30
percent (ranging from one to six in number).
Notably, with the exceptions of Ethiopia’s stateled fact-checking initiative to combat information
disorder in national and international media and
South Africa’s response to the ongoing Covid-19
infodemic, there are limited indications of active
government-led efforts to combat information
disorder. This could be due to the nature of
government efforts (such as internet shutdowns),
which are typically seen as repressive rather than
constructive.
28
28
MEDIA
CIVIL SOCIETY
6
GLOBAL DEVELOPMENT
5
TECHNOLOGY
4
LEGAL/HUMAN RIGHTS
2
2
2
HEALTH
ACADEMIC/TRAINING
INFORMATION/LIBRARY SERVICES
MILITARY
NATIONAL GOVERNMENT
TYPES OF ACTORS
WORKING TO COMBAT
INFORMATION DISORDER
IN SUB-SAHARAN AFRICA
1
1
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Sub -Saharan Africa – 1 42