3 papers
cs.CL2025
Linguistic Patterns in Pandemic-Related Content: A Comparative Analysis of COVID-19, Constraint, and Monkeypox Datasets
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
This study conducts a computational linguistic analysis of pandemic-related online discourse to examine how language distinguishes health misinformation from factual communication.…
cs.SI2025
Advanced Health Misinformation Detection Through Hybrid CNN-LSTM Models Informed by the Elaboration Likelihood Model (ELM)
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
Health misinformation during the COVID-19 pandemic has significantly challenged public health efforts globally. This study applies the Elaboration Likelihood Model (ELM) to enhance…
cs.SI2025
Analysing Health Misinformation with Advanced Centrality Metrics in Online Social Networks
Mkululi Sikosana, Sean Maudsley-Barton, Oluwaseun Ajao
The rapid spread of health misinformation on online social networks (OSNs) during global crises such as the COVID-19 pandemic poses challenges to public health, social stability, a…