Public health practitioners and researchers have used traditional medical databases to
study and understand public health for a long time. Recently, social media data, particularly …

Background Public health surveillance is based on the continuous and systematic collection,
analysis, and interpretation of data. This informs the development of early warning systems …

With the rapid development of the Internet of Things (IoT), Big Data technologies have
emerged as a critical data analytics tool to bring the knowledge within IoT infrastructures to …

Artificial intelligence (AI) techniques have been widely applied to infectious disease
outbreak detection and early warning, trend prediction, and public health response …

Social networks play a key role in providing a new approach to collecting information
regarding mobility and transportation services. To study this information, sentiment analysis …

Recently, health social media have engaged more and more people to share their personal
feelings, opinions, and experience in the context of health informatics, which has drawn …

Background The COVID-19 pandemic has been accompanied by an infodemic: excess
information, including false or misleading information, in digital and physical environments …

This paper presents the findings of an exploratory study on the continuously generating Big
Data on Twitter related to the sharing of information, news, views, opinions, ideas …

Context: Inappropriate public disclosure of security bug reports (SBRs) is likely to attract
malicious attackers to invade software systems; hence being able to detect SBRs has …

Social media are playing an increasingly important role in reporting major events happening
in the world. However, detecting events and topics of interest from social media is a …