43 citations · 93 across the 7 of their papers we have counts for
7 papers
Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media
Yao Ge, Sudeshna Das, Karen O'Connor +3
Substance use disorders (SUDs) are a growing concern globally, necessitating enhanced understanding of the problem and its trends through data-driven research. Social media are uni…
ReportAGE: Automatically extracting the exact age of Twitter users based on self-reports in tweets
Ari Z. Klein, Arjun Magge, Graciela Gonzalez-Hernandez
Advancing the utility of social media data for research applications requires methods for automatically detecting demographic information about social media study populations, incl…
Towards Automatic Bot Detection in Twitter for Health-related Tasks
Anahita Davoudi, Ari Z. Klein, Abeed Sarker +1
With the increasing use of social media data for health-related research, the credibility of the information from this source has been questioned as the posts may originate from au…
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes
Ari Z. Klein, Abeselom Gebreyesus, Graciela Gonzalez-Hernandez
Despite the prevalence of adverse pregnancy outcomes such as miscarriage, stillbirth, birth defects, and preterm birth, their causes are largely unknown. We seek to advance the use…
Deep Neural Networks Ensemble for Detecting Medication Mentions in Tweets
Davy Weissenbacher, Abeed Sarker, Ari Klein +3
Objective: After years of research, Twitter posts are now recognized as an important source of patient-generated data, providing unique insights into population health. A fundament…
Automatically Detecting Self-Reported Birth Defect Outcomes on Twitter for Large-scale Epidemiological Research
Ari Z. Klein, Abeed Sarker, Davy Weissenbacher +1
In recent work, we identified and studied a small cohort of Twitter users whose pregnancies with birth defect outcomes could be observed via their publicly available tweets. Exploi…
An unsupervised and customizable misspelling generator for mining noisy health-related text sources
Abeed Sarker, Graciela Gonzalez-Hernandez
In this paper, we present a customizable datacentric system that automatically generates common misspellings for complex health-related terms. The spelling variant generator relies…