[HTML][HTML] Toxicity on Social Media During the 2022 Mpox Public Health Emergency: Quantitative Study of Topical and Network Dynamics
Background Toxicity on social media, encompassing behaviors such as harassment,
bullying, hate speech, and the dissemination of misinformation, has become a pressing …
bullying, hate speech, and the dissemination of misinformation, has become a pressing …
Characterizing online toxicity during the 2022 Mpox outbreak: a computational analysis of topical and network dynamics
Background: Online toxicity, encompassing behaviors such as harassment, bullying, hate
speech, and the dissemination of misinformation, has become a pressing social concern in …
speech, and the dissemination of misinformation, has become a pressing social concern in …
Infodemiology of Influenza-like Illness: Utilizing Google Trends' Big Data for Epidemic Surveillance
Background: Influenza-like illness (ILI) encompasses symptoms similar to influenza,
affecting population health. Surveillance, including Google Trends (GT), offers insights into …
affecting population health. Surveillance, including Google Trends (GT), offers insights into …
Do Scholars Respond Faster Than Google Trends in Discussing COVID-19 Issues? An Approach to Textual Big Data
Background: The COVID-19 pandemic has posed various difficulties for policymakers, such
as the identification of health issues, establishment of policy priorities, formulation of …
as the identification of health issues, establishment of policy priorities, formulation of …
Bayesian Systemic Risk Analysis using Latent Space Network Models
In financial markets, systemic risk is a type of risk in which the failure of one stock in the
market triggers a sequence of failures. Our study proposes a Bayesian decision scheme to …
market triggers a sequence of failures. Our study proposes a Bayesian decision scheme to …