LocalTweets to LocalHealth: A Mental Health Surveillance Framework Based on Twitter Data

arXiv:2402.13452v1 Announce Type: cross
Abstract: Prior research on Twitter (now X) data has provided positive evidence of its utility in developing supplementary health surveillance systems. In this study, we present a new framework to surveil public health, focusing on mental health (MH) outcomes. We hypothesize that locally posted tweets are indicative of local MH outcomes and collect tweets posted from 765 neighborhoods (census block groups) in the USA. We pair these tweets from each neighborhood with the corresponding MH outcome …

abstract arxiv cs.cl cs.lg cs.si data evidence framework health mental health positive prior public public health research study surveillance systems twitter type utility