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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, and addiction recovery. Users' shared narratives on these forums…

Computation and Language · Computer Science 2024-06-19 Layla Bouzoubaa , Elham Aghakhani , Max Song , Minh Trinh , Rezvaneh Rezapour

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the "opioid crisis". The relationship between substance use and mental health has been extensively studied, with one possible relationship…

Machine Learning · Computer Science 2023-04-21 Usha Lokala , Orchid Chetia Phukan , Triyasha Ghosh Dastidar , Francois Lamy , Raminta Daniulaityte , Amit Sheth

Background: Psychedelic drugs facilitate profound changes in consciousness and have potential to provide insights into the nature of human mental processes and their relation to brain physiology. Yet published scientific literature reflects…

Quantitative Methods · Quantitative Biology 2012-06-05 Jeremy R. Coyle , David E. Presti , Matthew J. Baggott

Opioid and substance misuse is rampant in the United States today, with the phenomenon known as the opioid crisis. The relationship between substance use and mental health has been extensively studied, with one possible relationship being…

Artificial Intelligence · Computer Science 2021-03-30 Usha Lokala , Francois Lamy , Triyasha Ghosh Dastidar , Kaushik Roy , Raminta Daniulaityte , Srinivasan Parthasarathy , Amit Sheth

Increasing rates of opioid drug abuse and heightened prevalence of online support communities underscore the necessity of employing data mining techniques to better understand drug addiction using these rapidly developing online resources.…

Social and Information Networks · Computer Science 2019-03-12 John Lu , Sumati Sridhar , Ritika Pandey , Mohammad Al Hasan , George Mohler

Understanding the real-world effects of recreational drug use remains a critical challenge in public health and biomedical research, especially as traditional surveillance systems often underrepresent user experiences. In this study, we…

Opaque algorithms disseminate and mediate the content that users consume on online social media platforms. This algorithmic mediation serves users with contents of their liking, on the other hand, it may cause several inadvertent risks to…

Social and Information Networks · Computer Science 2025-01-28 Cai Yang , Sepehr Mousavi , Abhisek Dash , Krishna P. Gummadi , Ingmar Weber

Stigma toward people who use substances (PWUS) is a leading barrier to seeking treatment.Further, those in treatment are more likely to drop out if they experience higher levels of stigmatization. While related concepts of hate speech and…

Many online experiments exhibit dependence between users and items. For example, in online advertising, observations that have a user or an ad in common are likely to be associated. Because of this, even in experiments involving millions of…

Methodology · Statistics 2017-10-26 Eytan Bakshy , Dean Eckles

Drug safety research is crucial for maintaining public health, often requiring comprehensive data support. However, the resources currently available to the public are limited and fail to provide a comprehensive understanding of the…

Human-Computer Interaction · Computer Science 2024-07-03 Artem Bobrov , Domantas Saltenis , Zhaoyue Sun , Gabriele Pergola , Yulan He

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 unique and important sources of information about SUDs,…

Computation and Language · Computer Science 2024-05-13 Yao Ge , Sudeshna Das , Karen O'Connor , Mohammed Ali Al-Garadi , Graciela Gonzalez-Hernandez , Abeed Sarker

This is a preprint version of the first book from the series: "Stories told by data". In this book a story is told about the psychological traits associated with drug consumption. The book includes: - A review of published works on the…

Online platforms host a diverse user base, which can be broadly categorized into "specialist users" with focused interests and "generalist users" who engage in a wide range of topics. This study explores the behavioral differences between…

Social and Information Networks · Computer Science 2024-06-13 Abi Oppenheim , Federico Albanese , Esteban Feuerstein

Social media platforms have become pivotal as self-help forums, enabling individuals to share personal experiences and seek support. However, on topics as sensitive as depression, what are the consequences of online self-disclosure? Here,…

Social and Information Networks · Computer Science 2025-04-25 Virginia Morini , Salvatore Citraro , Elena Sajno , Maria Sansoni , Giuseppe Riva , Massimo Stella , Giulio Rossetti

In the last decade, the United States has lost more than 500,000 people from an overdose involving prescription and illicit opioids making it a national public health emergency (USDHHS, 2017). Medical practitioners require robust and timely…

Computation and Language · Computer Science 2024-06-17 Chenghao Yang , Tuhin Chakrabarty , Karli R Hochstatter , Melissa N Slavin , Nabila El-Bassel , Smaranda Muresan

Dark personality traits have long been associated with antisocial and toxic online behaviors, yet their relationship with observable online activity remains unclear. We investigate the association between validated dark personality…

Computers and Society · Computer Science 2026-04-30 Aldo Cerulli , Benedetta Tessa , Giuseppe La Selva , Oronzo Mazzeo , Lorenzo Cima , Lucia Monacis , Stefano Cresci

Social media sites have become a popular platform for individuals to seek and share health information. Despite the progress in natural language processing for social media mining, a gap remains in analyzing health-related texts on social…

Computation and Language · Computer Science 2023-12-21 Omar Sharif , Madhusudan Basak , Tanzia Parvin , Ava Scharfstein , Alphonso Bradham , Jacob T. Borodovsky , Sarah E. Lord , Sarah M. Preum

Motivation: Opioid use disorder (OUD) often arises after prescription opioid exposure and follows transitions among onset, remission, and relapse. Linked EHR-survey resources such as the All of Us Research Program enable stage-specific risk…

Quantitative Methods · Quantitative Biology 2026-01-23 Mengman Wei , Stanislav Listopad , Qian Peng

With the rapid growth of the internet, all online activities can have both positive and negative effects on human mental health. Online engagement is complex and efforts to regulate online use face challenges in distinguishing between…

Human-Computer Interaction · Computer Science 2026-02-19 Ruiyong Zhang

The transportation sector has the potential to enable a greener future if aligned with increasing mobility needs. Making public transport an attractive alternative to individual transportation requires real-world data to investigate reasons…

Human-Computer Interaction · Computer Science 2024-12-23 Esther Bosch , Ricarda Luther , Klas Ihme
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