Topic Modeling Approaches for Understanding COVID-19 MisinformationSpread in Sub-Saharan Africa

Citation:

Nwankwo E, Okolo C, Habonimana C. Topic Modeling Approaches for Understanding COVID-19 MisinformationSpread in Sub-Saharan Africa, in AI for Social Good Workshop. ; 2020.

Abstract:

Since the start of the pandemic, the proliferation of fake news and misinformation has been a constant battle for health officials and policy makers as they work to curb the spread of COVID-19. In areas within the Global South, it can be difficult for officials to keep track of the growth of such false information and even harder to address the real concerns their communities have. In this paper, we present some techniques the AI community can offer to help address this issue. While the topics presented within this paper are not a complete solution, we believe they could complement the work government officials, healthcare workers, and NGOs are currently doing on the ground in Sub-Saharan Africa.

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