Predicting the level of social media use among journalists: machine learning analysis
Mokhtar Elareshi,
Ahmad Al Shami,
Abdulkrim Ziani
et al.
Abstract:Within the long-drawn of COVID-19, the impact of social media is important for the public and journalists to re-engage with each other due to the relentless churning out of information. This paper investigates Arab journalists' use of social media during COVID-19 through Machine Learning (ML) models to predict future use and the main factor(s) deriving the respondents to such use. It aims to analyze the relationship between Arab journalists' online activity and their use of social media platforms during the CO… Show more
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