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Social Media Based Analysis of Opioid Epidemic Using Reddit

Sheetal Pandrekar, Xin Chen, Gaurav Gopalkrishna, Avi Srivastava, Mary Saltz, Joel Saltz, Fusheng Wang
2018 AMIA Annual Symposium Proceedings  
Reddit is a community based social media with more reliable content curated by the community through voting.  ...  Analyzing opioid-related social media has the potential to reveal patterns of opioid abuse at a national scale, understand opinions of the public, and provide insights to support prevention and treatment  ...  Use of 1 st person pronoun(we) garners more scores and comments, indicating that users who discuss personal matters, tend to get more social support.  ... 
pmid:30815129 pmcid:PMC6371364 fatcat:gfv4tyfya5dkjfpuzw2pdepfme

Monitoring the opioid epidemic via social media discussions [article]

Adam Lavertu, Tymor Carpenter Hamamsy, Russ B. Altman
2021 medRxiv   pre-print
Social media platforms include petabytes of participant-generated data, some of which, offers a window into the relationship between individuals and their use of drugs.  ...  We assessed the utility of Reddit data for public health surveillance, with a focus on the opioid epidemic.  ...  In this paper, we use data from the social media platform Reddit, to conduct public health surveillance of the opioid epidemic.  ... 
doi:10.1101/2021.04.01.21254815 fatcat:xzvmq7hxcfhrvjuwrlsverpdpe

Signals of increasing co-use of stimulants and opioids from online drug forum data

Abeed Sarker, Mohammed Ali Al-Garadi, Yao Ge, Nisha Nataraj, Christopher M. Jones, Steven A. Sumner
2022 Harm Reduction Journal  
A better understanding of the timing and patterns in stimulant co-use among PWUO based on mentions of these substances on social media can help inform prevention programs, policy, and future research directions  ...  This study examines stimulant co-mention trends among PWUO/PTMOUD on social media over multiple years.  ...  Acknowledgements The authors are grateful to Londell McGlone and Herschel Smith of the Centers for Disease Control and Prevention for providing assistance in detecting mentions of substances in the data  ... 
doi:10.1186/s12954-022-00628-2 pmid:35614501 pmcid:PMC9131693 fatcat:xibmlmd5z5hwrffciqz4yfgjlu

Firsthand Opiates Abuse on Social Media: Monitoring Geospatial Patterns of Interest Through a Digital Cohort

Duilio Balsamo, Paolo Bajardi, Andrei Panisson
2019 The World Wide Web Conference on - WWW '19  
We introduce an information retrieval algorithm suitable to identify relevant subspaces of discussion on social media, for mining data from users showing explicit interest in discussions about opioid consumption  ...  in Reddit.  ...  While this methodology works well on Reddit in the domain of topics related to the opioid epidemics (see Section 4.1), it is also sufficiently general to be used for other information retrieval tasks and  ... 
doi:10.1145/3308558.3313634 dblp:conf/www/BalsamoBP19 fatcat:cpbajamlijbftlktewbzjbiwum

Mining social media for prescription medication abuse monitoring: a review and proposal for a data-centric framework

2019 JAMIA Journal of the American Medical Informatics Association  
There is a paucity of standardized, data-centric frameworks for curating social media data for task-specific analyses and near real-time surveillance of nonmedical PM use.  ...  Our objectives are to present a methodological review of social media-based PM abuse or misuse monitoring studies, and to propose a potential generalizable, data-centric processing pipeline for the curation  ...  Pandrekar et al 72 To demonstrate the potential of analyzing social media (specifically Reddit) data to reveal patterns about opioid abuse at a national level The information shared on Reddit can provide  ... 
doi:10.1093/jamia/ocz162 pmid:31584645 pmcid:PMC7025330 fatcat:ilk34pcwkjdgvectwvz26hheoq

Social networking online to recover from opioid use disorder: A study of community interactions

Alexandra R. D'Agostino, Allison R. Optican, Shaina J. Sowles, Melissa J. Krauss, Kiriam Escobar Lee, Patricia A. Cavazos-Rehg
2017 Drug and Alcohol Dependence  
Keywords opioid use disorder; social media; opioid use; Reddit D'Agostino et al.  ...  Future research should explore the feasibility of incorporating social media-based peer support into traditional addiction treatments.  ...  Acknowledgments This work was supported by the National Institutes of Health [grant numbers R01 DA039455, R01 DA032843].  ... 
doi:10.1016/j.drugalcdep.2017.09.010 pmid:29024875 pmcid:PMC5683917 fatcat:yor27sqf7zgpjkmpdp77pfw2z4

Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions

Duilio Balsamo, Paolo Bajardi, Alberto Salomone, Rossano Schifanella
2021 Journal of Medical Internet Research  
Objective This study leverages Reddit, a social media platform, as the primary data source to investigate the opioid crisis.  ...  Conclusions This work investigated some important consumption-related aspects of the opioid epidemic using Reddit data.  ...  The funder had no role in the study design, data collection, analysis, decision to publish, or preparation of the manuscript.  ... 
doi:10.2196/21212 pmid:33393910 fatcat:ohagzcoqsrhlrp4q32xze7n2na

Discovering Opioid Use Patterns from Social Media for Relapse Prevention [article]

Zhou Yang, Spencer Bradshaw, Rattikorn Hewett, Fang Jin
2019 arXiv   pre-print
In this paper, we study communication and behavior patterns of patients with opioid use disorder (OUD) from social media, intending to demonstrate how existing information from common activities, such  ...  These quantitative analyses are of practical importance and demonstrate innovative ways to use information from online social media, to create technology that can assist in relapse prevention.  ...  DATA ANALYSIS AND RESULTS Opioid Communities on Social Media With social media growing profoundly and widely intertwined with people's everyday lives, social media contains more and more biomedical psychological  ... 
arXiv:1912.01122v1 fatcat:jgiuzwlez5errcixcxhqabe66u

Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data

Mike Conway, Mengke Hu, Wendy W. Chapman
2019 IMIA Yearbook of Medical Informatics  
., influenza, dengue) have been the focus of much social media-based NLP health research.  ...  Objective: We present a narrative review of recent work on the utilisation of Natural Language Processing (NLP) for the analysis of social media (including online health communities) specifically for public  ...  The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.  ... 
doi:10.1055/s-0039-1677918 pmid:31419834 pmcid:PMC6697505 fatcat:r5ubjbhoszh47flxg6tf7n5eku

Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach

Mai ElSherief, Steven A Sumner, Christopher M Jones, Royal K Law, Akadia Kacha-Ochana, Lyna Shieber, LeShaundra Cordier, Kelly Holton, Munmun De Choudhury
2021 Journal of Medical Internet Research  
Leveraging public health expert annotations on a sample of 2400 of these social media posts that were found to be semantically most similar to a variety of prevailing opioid use disorder–related myths  ...  Results Our results demonstrate promise in identifying social media postings that center on treatment myths about opioid use disorder with an accuracy of 91% and an area under the curve of 0.9, including  ...  ME and MDC had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.  ... 
doi:10.2196/30753 pmid:34941555 pmcid:PMC8734931 fatcat:i27fbkpuvba4tg5knjzwbmbx4q

Concerns among people who use opioids during the COVID-19 pandemic: a natural language processing analysis of social media posts

Abeed Sarker, Nisha Nataraj, Wesley Siu, Sabrina Li, Christopher M. Jones, Steven A. Sumner
2022 Substance Abuse Treatment, Prevention, and Policy  
Greater attention to social media data may help inform timely responses to the needs of people who use opioids during COVID-19.  ...  We conducted a large-scale, natural language processing (NLP) analysis of conversations on opioid-related drug forums to better understand concerns among people who use opioids.  ...  Conclusion Our analysis demonstrates the utility of social media for studying SUD, particularly at times when significant social changes occur, such as the spread of the COVID-19 pandemic.  ... 
doi:10.1186/s13011-022-00442-w pmid:35248103 pmcid:PMC8897722 fatcat:yobhl43i4bbmnfm7qg3hrb66e4

Social Media Text Mining Framework for Drug Abuse: An Opioid Crisis Case Analysis (Preprint)

Tareq Nasralah, Omar El-Gayar, Yong Wang
2020 Journal of Medical Internet Research  
The framework was evaluated using the opioid epidemic as a drug abuse case analysis.  ...  We demonstrated the applicability of the proposed framework to identify public concerns toward the opioid epidemic and the most discussed topics on social media related to opioids.  ...  We demonstrated the applicability of the proposed framework using the opioid epidemic as a drug abuse case analysis by analyzing Twitter data.  ... 
doi:10.2196/18350 pmid:32788147 fatcat:iy222c324ze7hhn4lirswe6dqu

Predicting Opioid Relapse Using Social Media Data [article]

Zhou Yang, Long Nguyen, Fang Jin
2018 arXiv   pre-print
This work is one of the first attempts to predict relapses using massive social media data and generative adversarial nets.  ...  The proposed method, combined with knowledge of social media mining, has the potential to revolutionize the practice of opioid addiction prevention and treatment.  ...  This paper is one of the first attempts to predict opioid addict relapses using massive social media data from Reddit.com.  ... 
arXiv:1811.12169v1 fatcat:exfqmk7gbrepdf4vrrrlaila3a

Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia (Preprint)

Nicolò Gozzi, Michele Tizzani, Michele Starnini, Fabio Ciulla, Daniela Paolotti, André Panisson, Nicola Perra
2020 Journal of Medical Internet Research  
The exposure and consumption of information during epidemic outbreaks may alter risk perception, trigger behavioral changes, and ultimately affect the evolution of the disease.  ...  We collect a heterogeneous dataset including 227'768 online news articles and 13'448 YouTube videos published by mainstream media, 107'898 users posts and 3'829'309 comments on the social media platform  ...  The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. NG acknowledges support from the Doctoral Training Alliance.  ... 
doi:10.2196/21597 pmid:32960775 fatcat:ndklytdqmjecdief6had4t7nb4

Collective response to the media coverage of COVID-19 Pandemic on Reddit and Wikipedia [article]

Nicolò Gozzi, Michele Tizzani, Michele Starnini, Fabio Ciulla, Daniela Paolotti, André Panisson, Nicola Perra
2020 arXiv   pre-print
media platform Reddit, and 278,456,892 views to COVID-19 related Wikipedia pages.  ...  The exposure and consumption of information during epidemic outbreaks may alter risk perception, trigger behavioural changes, and ultimately affect the evolution of the disease.  ...  related issues like mental illness [96] , also providing insights about the opioid epidemics [77, 97] .  ... 
arXiv:2006.06446v1 fatcat:q5tx7miihfahdmef4wklxded44
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