A framework for multi-faceted content analysis of social media chatter regarding non-medical use of prescription medications

S Raza, B Schwartz, S Lakamana, Y Ge, A Sarker - BMC digital health, 2023 - Springer
Background Substance use, including the non-medical use of prescription medications, is a
global health problem resulting in hundreds of thousands of overdose deaths and other …

# ChronicPain: automated building of a chronic pain cohort from Twitter using machine learning

A Sarker, S Lakamana, Y Guo, Y Ge, A Leslie… - Health data …, 2023 - spj.science.org
Background Due to the high burden of chronic pain, and the detrimental public health
consequences of its treatment with opioids, there is a high-priority need to identify effective …

Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit

L Bouzoubaa, E Aghakhani, M Song, M Trinh… - arXiv preprint arXiv …, 2024 - arxiv.org
Online communities such as drug-related subreddits serve as safe spaces for people who
use drugs (PWUD), fostering discussions on substance use experiences, harm reduction …

Social media mining for toxicovigilance of prescription medications: End-to-end pipeline, challenges and future work

A Sarker - arXiv preprint arXiv:2211.10443, 2022 - arxiv.org
Substance use, substance use disorder, and overdoses related to substance use are major
public health problems globally and in the United States. A key aspect of addressing these …

" I Been Taking Adderall Mixing it With Lean, Hope I Don't Wake Up Out My Sleep": Harnessing Twitter to Understand Nonmedical Prescription Stimulant Use among …

JL Webster, S Lakamana, Y Ge, A Sarker - medRxiv, 2024 - medrxiv.org
Black women and men outpace other races for stimulant-involved overdose mortality despite
lower lifetime use. Growth in mortality from prescription stimulant medications is increasing …

Which Social Media Platforms Provide the Most Informative Data for Monitoring the Opioid Crisis?

KA Carpenter, AT Nguyen, DA Smith, IA Samori… - medRxiv, 2024 - medrxiv.org
Background and Aims Social media can provide real-time insight into trends in substance
use, addiction, and recovery. Prior studies have leveraged data from platforms such as …

NLP Applications—Social Media

A Sarker - Natural Language Processing in Biomedicine: A …, 2024 - Springer
Over the last decade, social media have been recognized as important sources of
biomedical data generated directly by patients/consumers. With over 80% of the United …

Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways Forward

M Helbich, Y Zeng, A Sarker - 2024 - Springer
People's mental health is intertwined with the social environment in which they reside. This
chapter explores approaches for quantifying the area-level social environment, focusing …

From Lexicons to Generative AI: Benchmarking Data Annotation in Business Research

R Mousavi, B Kitchens, A Oliver… - Available at SSRN …, 2024 - papers.ssrn.com
Data annotation/labeling has become highly important for social science researchers
interested in studying attitudes, perceptions, and behaviors in online platforms and many …

Unveiling Voices: Identification of Concerns in a Social Media Breast Cancer Cohort via Natural Language Processing

S Rajwal, AK Pandey, Z Han… - Proceedings of the First …, 2024 - aclanthology.org
We leveraged a dataset of∼ 1.5 million Twitter (now X) posts to develop a framework for
analyzing breast cancer (BC) patients' concerns and possible reasons for treatment …