Large-Scale Longitudinal Analysis of the Progression of Alcohol Use Among Members of a Social Media Platform DOI Open Access
Fernanda C. Andrade, Matthew Meyerson, Rick H. Hoyle

et al.

Published: Sept. 30, 2023

Background: The large-scale identification of people at risk transitioning from relatively lower-risk to higher-risk alcohol use (e.g., problem drinking) remains a public health challenge despite advances in the and protective factors. Objective: This paper used machine learning identify Reddit (social media platform) posting activity associated with lower forms use. Methods: We employed bottom-up top-down approaches lower- alcohol-related subreddits. Using non-parametric negative control procedure, we estimated each 10,006 communities’ progression communities applied random forest model predict among individual users. Eligible users had posted on for two or more years before their first post community three after that (N = 4,120). Results: Our methodology identified 42 communities, four which were suggestive drinking. Five (r/stopsmoking, r/opiates, r/KitchenConfidential, r/Vaping, r/depression) significantly progression. Random forests model's scores correlated 0.30. Conclusions: Posting dedicated other substance use, depression, occupation food service industry was drinking later. may be early detection higher

Language: Английский

Self-reported Xylazine Experiences: A Mixed-methods Study of Reddit Subscribers DOI Creative Commons
Anthony Spadaro, Karen O’Connor, Sahithi Lakamana

et al.

Journal of Addiction Medicine, Journal Year: 2023, Volume and Issue: 17(6), P. 691 - 694

Published: Aug. 10, 2023

Objectives Xylazine is an α 2 -agonist increasingly prevalent in the illicit drug supply. Our objectives were to curate information about xylazine through social media from people who use drugs (PWUDs). Specifically, we sought answer following: (1) What are demographics of Reddit subscribers reporting exposure xylazine? (2) Is a desired additive? And (3) what adverse effects PWUDs experiencing? Methods Natural language processing (NLP) was used identify mentions “xylazine” posts by also posted on drug-related subreddits. Posts qualitatively evaluated for xylazine-related themes. A survey developed gather additional subscribers. This subreddits that identified NLP contain discussions March 2022 October 2022. Results Seventy-six extracted via 765,616 16,131 (January 2018 August 2021). People described as unwanted adulterant their opioid Sixty-one participants completed survey. Of those disclosed location, 25 50 (50%) reported locations Northeastern United States. The most common route intranasal (57%). Thirty-one 59 (53%) experiencing withdrawal. Frequent events prolonged sedation (81%) and increased skin wounds (43%). Conclusions Among respondents these forums, seems be adulterant. may such seemed more Northeast.

Language: Английский

Citations

26
Longitudinal Loyalty: Understanding The Barriers To Running Longitudinal Studies On Crowdsourcing Platforms DOI
Michael Soprano, Kevin Roitero, Ujwal Gadiraju

et al.

ACM Transactions on Social Computing, Journal Year: 2024, Volume and Issue: 7(1-4), P. 1 - 49

Published: July 11, 2024

Crowdsourcing tasks have been widely used to collect a large number of human labels at scale. While some these are deployed by requesters and performed only once crowd workers, others require the same worker perform task or variant it more than once, thus participating in so-called longitudinal study . Despite prevalence studies crowdsourcing, there is limited understanding factors that influence participation them across different crowdsourcing marketplaces. We present results from large-scale survey 300 workers on 3 micro-task platforms: Amazon Mechanical Turk, Prolific, Toloka. The aim understand how using crowdsourcing. answers about 547 experiences we analyze both quantitatively qualitatively. synthesize 17 take-home messages together with 8 recommendations for 5 best practices platforms adequately conduct support such kinds studies. release data at: https://osf.io/h4du9/.

Language: Английский

Citations

1
Pelvic Floor Physical Therapy is Self-Reported as a Minimally Effective, and Sometimes Harmful, Treatment for Pudendal Neuralgia: A Cross-Sectional Study DOI
Jenny Niedenfuehr,

David M. Stevens,

Lindsey King

et al.

International Journal of Sexual Health, Journal Year: 2024, Volume and Issue: 36(4), P. 627 - 635

Published: Aug. 28, 2024

Objectives: Pudendal neuralgia (PN) is a sexual pain disorder characterized as of the genital and/or perineal regions, and despite lack clinical evidence supporting its use, pelvic floor physical therapy (PFPT) recommended treatment for PN. Methods: An online anonymous cross-sectional survey was administered to participants through convenience sampling conducted on May 19 September 19, 2023 understand self-reported efficacy PFPT Participants' measures included sociodemographics, Patient Global Impression Change (PGIC), satisfaction scores. Results: The average PGIC score among 4.6 ± 1.3 (n = 144), indicating no minimal improvement in symptoms. Most (66%) scored 4 or 5, suggesting change improvement. Twelve percent 3 lower, worsening symptoms, only 22% 6 7, much very Participants who participated 24) had lower 4.4 1.3. For with PN, 4.9 3.0, slight dissatisfaction. those experienced symptom improvement, median number sessions before noticing five sessions. Conclusion: Based results, minimally effective, sometimes harmful, Patients should receive greater transparency regarding potential harm.

Language: Английский

Citations

0
Do Users Anthropomorphize AI-Based Virtual Influencers? Unraveling Reddit User Perceptions via Text Mining DOI
Rhulia Nukhu, Swati Singh, Vinay Chittiprolu

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Oct. 21, 2024

Language: Английский

Citations

0
Large-scale longitudinal analysis of the progression of alcohol use among members of a social media platform: an observational study DOI
Fernanda C. Andrade, Matthew Meyerson, Rick H. Hoyle

et al.

The American Journal of Drug and Alcohol Abuse, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 11

Published: Nov. 19, 2024

The large-scale identification of people at risk transitioning from relatively lower-risk to higher-risk alcohol use (e.g. problem drinking) remains a public health challenge despite advances in the and protective factors.

Language: Английский

Citations

0
Large-Scale Longitudinal Analysis of the Progression of Alcohol Use Among Members of a Social Media Platform DOI Open Access
Fernanda C. Andrade, Matthew Meyerson, Rick H. Hoyle

et al.

Published: Sept. 30, 2023

Background: The large-scale identification of people at risk transitioning from relatively lower-risk to higher-risk alcohol use (e.g., problem drinking) remains a public health challenge despite advances in the and protective factors. Objective: This paper used machine learning identify Reddit (social media platform) posting activity associated with lower forms use. Methods: We employed bottom-up top-down approaches lower- alcohol-related subreddits. Using non-parametric negative control procedure, we estimated each 10,006 communities’ progression communities applied random forest model predict among individual users. Eligible users had posted on for two or more years before their first post community three after that (N = 4,120). Results: Our methodology identified 42 communities, four which were suggestive drinking. Five (r/stopsmoking, r/opiates, r/KitchenConfidential, r/Vaping, r/depression) significantly progression. Random forests model's scores correlated 0.30. Conclusions: Posting dedicated other substance use, depression, occupation food service industry was drinking later. may be early detection higher

Language: Английский

Citations

0