COVID-19 Social Media Information and Misinformation: a Geospatial Analysis of Inter-regional Tweet Disparities in Ghana

Abstract Background In an era of the global pandemic and social media dominance, trying to control the narrative on COVID-19 has been a challenging task for most governments particularly with news about the disease on various social media platforms. There have even been instances where people have sent false information about the number of confirmed cases, precautionary measures, drugs that boost the immune system which can threaten the lives of some users who are accessing this false information and misconceptions. Method This study analyzed spatial differences in Twitter misinformation on COVID-19 across 16 regions of Ghana by scraping 1,167 tweets from Twitter using API access. A total of 514 tweets were analyzed. The data were categorized into three namely; accurate information, misinformation, and other information. Results The study results show that 72% of the tweets were accurate, 14% were misinformation and 14% represented other information. Among the regions, Greater Accra had the highest number of accurate information (45 tweets), and the Upper West Region recording the highest number of misinformation (12 tweets). Conclusion Spatial monitoring and management of information dissemination are useful for target setting and achievement of direct results in terms of diffusing misinformation and propagating accurate information. We, therefore, recommend official usage of Twitter for COVID-19 information dissemination as this usage will help offset possible misinformation from unformed individuals.