4 papers
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.…
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…
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…
A Comparative Study of Hybrid Models in Health Misinformation Text Classification
Mkululi Sikosana, Oluwaseun Ajao, Sean Maudsley-Barton
This study evaluates the effectiveness of machine learning (ML) and deep learning (DL) models in detecting COVID-19-related misinformation on online social networks (OSNs), aiming…