Social media data are rapidly evolving and accessible, which presents opportunities for
research. Data science techniques, such as sentiment or emotion analysis which analyse …

Microblogs data is the microlength user-generated data that is posted on the web, eg,
tweets, online reviews, comments on news and social media. It has gained considerable …

Using user-generated content (UGC) on Twitter, the present study identifies the main themes
that revolve around the concept of healthy diet and determine user feelings about various …

Background Adverse reactions to drugs attract significant concern in both clinical practice
and public health monitoring. Multiple measures have been put into place to increase …

Planning interventions have been applied to improve the well‐being, hereafter happiness, of
residents. The happiness in shrinking cities, in particular, becomes more critical since urban …

Objective Initiatives to reduce neighborhood-based health disparities require access to
meaningful, timely, and local information regarding health behavior and its determinants. We …

Background: Mobile devices are increasingly used to collect location-based information from
individuals about their physical activities, dietary intake, environmental exposures, and …

Obesity is a modern public health problem. Social media images can capture eating
behavior and the potential implications to health, but research for identifying the healthiness …

Introduction Social media sites like Twitter (now X) are increasingly used to create health
behavior metrics for public health surveillance. Yet little is known about social norms that …

Monitoring health activities is vital for individual and public health. It identifies trends, detects
risks early, and tailors interventions. At the individual level, it informs customized treatments …