Substance abuse tweets Chamberlain University Community Health RNBSN See new Tweets. Show references. PDF | On Jun 1, 2018, Han Hu and others published Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets | Find, read and cite all the research you need on ResearchGate Sentiment of tweets towards drug usage remained negative before and during COVID-19 pandemic for maximum period Substance Abuse and Mental Health Services Administration [SAMHSA] Report (2012). [] Enabling real-time drug abuse detection in tweets. In: Dulcan's Textbook of Child and Adolescent Psychiatry. 2196 Interested in @CURNBSN_ComHlth's Tweets? Turn on account notifications to keep up with all new content. There is no denying the over About Communities Talk to Prevent Alcohol and Other Drug Misuse. Substance Abuse Contributions: To address these challenges, our main contributions are to propose: (1) a large-scale drug-abuse risk behavior tweets collection mechanism based on supervised machine-learning and Addiction refers to the problematic use of a substance. by Joydeep Chandra. These findings suggest that Twitter users, even those who are young in age and cannot legally purchase substances like Substance use by youth remains a significant public health concern. The limited availability of annotated drug abuse-related tweets makes it even more challenging to distinguish drug abuse In an interview with Paper magazine, the former Nickelodeon star opened up about her tumultuous past, struggles with substance abuse and interest in returning to acting. Several We also identified topical areas in tweets related to drug use, including reference to polysubstance use, pop culture, and antidrug content. instagram. We filtered this data using a drug terms dictionary to identify drug-specific tweets. Substance Abuse Treatment, Prevention, and The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network. A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. 2 Drug Dictionary Creation The UMLS [17] is a large, multi-purpose and multilingual Hu et al. 1109/TCSS. sh/Sub2SmoshPitWEAR OUR JOKES: https://smosh. 2013b). 340) than during the pre-pandemic period (Mean = 18. In this article, we turn our attention to the production of addiction on the microblogging social media The actress gave advice to others who may be struggling with substance abuse, warning that “drugs can really take a hold of your life. Objective: This study aimed to identify the beliefs and behaviors of youth related to substance use by characterizing the content of youths’ drug-related tweets. Tweet; Feb. Most tweets that expressed pride (46/63, 73%) were explicitly related to marijuana. Previous research has examined drug abuse content in both social media and popular music; however, to our knowledge, the intersection of drug abuse content in these 2 domains has not been explored. , homelessness, disease). 42 million users who justify DA, to characterize the spreading of DA tweets across the network. We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to . Article Details; Title: Enabling Real-Time Drug Abuse Detection in Tweets: Article URLs: https://doi. Author links open overlay panel Robin C Stevens MPH, PhD 1, and increased risk of substance abuse later in life [4, 5]. In a related study, Twitter users whose tweets identified them as prescription drug abusers tended to be “socially surrounded” (via tweets) with other Twitter users who similarly Tweeted about prescription drug abuse . Problem Definition: We use the term “drug abuse risk behaviors” in the wider sense, including misuse and use of Schedule 1 drugs that are illegal; and misuse of Schedule Hu et al. With regard to alcohol, according to the Wisconsin Department of Health Services (DHS), Application of SNA to Tweets provides insights for future online-based drug abuse research during the outbreak. Russ stirs controversy after wearing an anti-drug shirt and criticizes hip-hop for glorifying drug abuse in music in a series of tweets. 2005). JMIR Public Health Surveill. 1). Stevens et al. 3 %). 1510--1514. A homeless heroin In a new study from the University of Pennsylvania School of Nursing (Penn Nursing), researchers characterized the content of 23 million drug-related tweets by youths to identify their beliefs The latest Tweets from Substance Abuse (@substanceinter1). The limited availability of annotated drug abuse-related tweets makes it even more challenging to distinguish drug abuse The collection and examination of social media has become a useful mechanism for studying the mental activity and behavior tendencies of users. Telehealth for mental health and substance abuse is being discussed more frequently online. Amanda Bynes Unfiltered: The Actress Breaks Her Silence on Her History of Drug Abuse, Those Wild Tweets and Her ''Dark, Sad World'' "I can't turn back time but if I could, I would," the actress Abstract. 2943238 6:6 (1232-1244) Online publication date: Dec-2019 The challenges associated with alcohol and substance use disorders in Wisconsin and Milwaukee County are well-documented and severe. 215 and Mean = 20. In this article, we perform a large-scale study of the Twitter follower network, involving around 0. We applied social network analysis (SNA) to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 (n= 2,558,474 Tweets). from publication ambiguity in natural language [21] In addition, the drug abuse-related Twit-ter data usually is very imbalanced, i. Our observations reveal the Objective: The objective of this study is to understand the primary topics of consumer discussion on Twitter associated with telehealth for mental health or substance abuse for prepandemic versus during-pandemic time-periods, using a state-of-the-art machine learning (ML) natural language processing (NLP) method. ). https Introduction. JSAT. com collected 405,589 tweets mentioning alcohol and drug types for the past 30 days ( 5/25/20-6/25/20) We a random sampling of tweets in the United States that contained the words: Beer, Cider, Wine, Whiskey, See more The latest posts from @samhsagov It is clear that the Hashtags in positive tweets are almost exclusively related to drug abuse, while the Hashtags in negative tweets cover much wider range of topics. 0 %, oxycodone: 12 %) than the proportion for the control medication (metformin: 0. 14, 15 For instance, in people with problematic substance use, adverse childhood experiences and trauma were stronger predictors of homelessness than addiction. [24] put forward a deep self-taught learning mechanism to identify and track drug abuse risk behaviors in tweets, using a substantial quantity of unlabeled data. Amanda Bynes Unfiltered: The Actress Breaks Her Silence on Her History of Drug Abuse, Those Wild Tweets and Her ''Dark, Sad World'' "I can't turn back time but if I could, I would," the actress Happy #NursesMonth and #NursesWeek! Thank you to nurses for making a difference in substance misuse prevention, treatment and recovery—as well as mental health promotion, treatment and recovery. Likewise, Sequeira et al The investigator trained a Natural Language Processing (NLP) text classification model to analyze the sentiments on the tweets, then classifying them as positives (containing substance abuse Drug abuse continues to accelerate towards becoming the most severe public health problem in the United States. 722, SD = 3. A total of n = 41,600 Tweets were collected in September 2017 using the Twitter application programming interface (API), were stored in CSV files, and were analyzed using Dedoose Software. , parents and teens). Europe PMC is an archive of life sciences journal literature. The limited availability of annotated drug abuse-related tweets makes it even more challenging to distinguish drug abuse Hours later, WBC president Mauricio Sulaiman tweeted about his decision to expel Garcia. The limited availability of annotated drug abuse-related tweets makes it even more challenging to distinguish drug abuse Download scientific diagram | Most frequent Hashtags in positive tweets and negative tweets from publication: Deep Self-Taught Learning for Detecting Drug Abuse Risk Behavior in Tweets: 7th INTRODUCTION. 3rd ed. 2016 Oct 24;2(2):e162. JMIR Public Health Surveill 2020;6(1):e16191 Purpose We examined openly shared substance-related tweets to estimate prevalent sentiment around substance use and identify popular substance use activities. We collected tweets associated with well-known illegal and prescription drugs. The approach of the Abhiyaan is contemporary to engage youth and comprehensive to converge the activities done by all the stakeholders for a common goal of making India free of substance abuse. Tweets about prescription opioid use may reveal insights into the prescription drug epidemic. Our observations reveal the In a new study from the University of Pennsylvania School of Nursing (Penn Nursing), researchers characterized the content of 23 million drug-related tweets by youths to identify their beliefs and Sarker et al. Salvaging lives through awareness on effects, dangers and consequences of drug abuse and alcoholism for a healthy future. Substance Abuse Volume 42, 2021 - Issue 1. 6 million tweets, and to identify ambiguity in natural language [21] In addition, the drug abuse-related Twit-ter data usually is very imbalanced, i. 005 [PMC free article] [Google Scholar] 55. 24K Followers, 140 Following, 1,317 Posts - SAMHSA (@samhsagov) on Instagram: "SAMHSA's mission is to reduce the impact of substance abuse and mental illness on America's communities. 240, SD = 11. Our observations reveal the The researchers developed custom software to analyze tweets for possible references to drug use or abuse. , dominated by non-drug abuse tweets, such as reports, advertisements, etc. (2) Pre-processed tweets will be labeled by humans, AI Our study provides a novel finding on the prevalence of drug abuse by defining a new subcategory of X content: "tweets that reference established drug lyrics. American Psychiatric Association Publishing; 2021. More than 10 years ago, the Simple Life alum opened up about her history of drug abuse. ambiguity in natural language [21] In addition, the drug abuse-related Twit-ter data usually is very imbalanced, i. 2015. Social media use has increased dramatically over the past decade, with near-ubiquitous use among adolescents and young adults [6, 7]. Our automatic classification approach Not sure which hashtags to use for substanceabuse? Try these: #instahealth #instatreatment #instaabuse #instasubstance #instasud #instaopioid #instadrugs #instaprevention #instadepression #instateens #instadrugaddiction #instasupport #instarehab #instamentalillness #instaparents #instayouth #instapeople #instasubstanceabuseprevention #instatoday Last year, Twitter participated in the US Food and Drug Administration’s (FDA) Online Opioid Summit in which we committed to taking stronger action against the availability of illegal online drug sales. There are four steps as follows: (1) Tweet collection through streaming API; (2) Data management by using DBMSs; (3) Reprocessed and filtered tweets are fed into data billion) tweets for the years 2012 to 2018 are available in this dataset. The rise in stress could lead to other substance abuse, such as alcohol misuse caused because of the improper functioning of the cortisol response and emotional regulation. Spreading drug awareness and encouraging people to seek mental health Additionally, we investigated associations between substance-related tweets and business characteristics and | Twitter, Alcohol and Cannabis | ResearchGate, the professional network for Longitudinal analyses show that relationships among addiction, mental illness, and homelessness are unlikely to be causal. DOI: 10. Drug Abuse Tweets Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra Abstract—In this paper, we perform a large-scale study of the Twitter follower network, involving around 0. We randomly extracted 16,154 Tweets mentioning cannabis and 4,670 Tweets mentioning opioids fro The utility of Twitter in examining patterns of abuse, and the feasibility of building the drug abuse detection system that can process large volume data from social media sources in a near real-time are illustrated. "I kind of took matters into my own hands and Tweets were manually annotated for primary or secondary accounts of overdose as well as suicidal ideation, substance(s) used, stigma of drug use, and community-wide incidents. We identified nine studies Future research should examine whether tweets that include drug solicitation terms correlate with overdose rates in ways that differ from posts that exclude such terms. doi: 10. 2020. [3] have shown that by extracting word n-grams and abuse-indicating terms, using a drug-slang lexicon, synonym expansion, and word clusters, they could classify tweets into "abuse Drug Abuse Detection System. While social media provides youth the opportunity to discuss and display substance use-related beliefs and behaviors, little is As a significant proportion of the tweets are meant towards increasing awareness against drug-abuse, we need to filter out tweets that promote or self-report drug-abuse from the rest of the tweets. This document discusses methods for detecting mentions of drug abuse from tweets in real-time using neural models. org Joined March 2011. Even though some mental health concerns are highly manageable, people with symptoms of mental illness tend For example, the Substance Abuse and Mental Health Services Administration (SAMHSA) has supported a number of web-based media campaigns for substance use prevention aimed at a range of targeted audiences (e. A user, v, following the initiator i is added as a node to the Drug abuse behavior is associated with stress, poor mental health status, poor ability to relate to others and poor social support . , Citation 2015). (2) Pre-processed tweets will be labeled by humans, AI techniques, and crowd-sourcing Drug Abuse Risk Behavior in Tweets Han Hu 1 , NhatHai Phan , James Geller , Huy Vo 2 , Bhole Manasi 1 , Xueqi Huang 2 , Sophie Di Lorio 1 , Thang Dinh 3 , and Soon Ae Chun 4 The process of identifying cascades is formally defined below. This study provides insight into publicly stated beliefs about drugs and drug use on social media. 16, 17 Data collection on substance use statistics in PEH We would like to show you a description here but the site won’t allow us. Rx: prescription. Dan Romer with young people. #soberissexy. The study conducted a content analysis of tweets (over 2500 in more than 6 months) and the Although alcohol-use disorder is the most common substance-use disorder worldwide, other substance-use disorders are also highly prevalent. Nearly half of Drug Abuse Tweets Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra Abstract—In this paper, we perform a large-scale study of the Twitter follower network, involving around 0. [1,2] Data from the GBD Objective This study aimed to identify the beliefs and behaviors of youth related to substance use by characterizing the content of youths’ drug-related tweets. We provided an update on our progress at a follow-up event at the FDA earlier this month. Our analyses show that clear signals of medication abuse can be drawn from Twitter posts and the percentage of tweets containing abuse signals are significantly higher for the three case medications (Adderall ®: 23 %, quetiapine: 5. m. 2019, IEEE Transactions on Computational Social Systems. 00066 Deep Learning Model for Classifying Drug Abuse Risk Behavior in Tweets Han Hu, Pranavi Moturu, Kannan Neten Dharan, James Geller, Sophie Di Iorio, Hai Phan* The progression to a substance use disorder often follows this pattern: Experimental use (or prescription use): Trying a substance once or using the substance as directed. Tweets & replies. (2) Pre-processed tweets will be labeled by humans, AI TIL that Sam Altman's sister accuses him of horrible abuse. Substance abuse in rural and urban areas is a major public health concern. comWHO YOU SEEIan Hecox // https://www. People with abuse continue to take the substance despite self-awareness, which has adverse effects such as loss of The results show that tweets during the post-pandemic period had a significantly more positive emotional tone for both alcohol-related tweets (Mean = 31. 1109/ICDE. In this article, we review the literature on the challenges and strategies for implementing substance misuse treatment and prevention services in conflict and post-conflict settings in low- and middle-income countries. regardless of how you feel about me, addiction is a disease. 7 million Americans that are aged 12 and older battle substance abuse disorder. Media. In ICDE'17. no one chooses to struggle with substance abuse and it's has been a lifelong struggle for me. 2018. ” Nasha Mukt Bharat Abhiyaan is a flagship campaign to enhance the evidence based approach towards substance abuse. The harms of substance use can range from mild (e. ” —New York State Office of Alcoholism and Substance Abuse Services This hashtag inspires and encourages people recovering from drug abuse to fully experience their lives without substance abuse and share these experiences with others. 42 million users who justify drug abuse, to characterize the spreading of drug abuse tweets across the network. “When ‘bad’ is ‘good’”: identifying personal communication and sentiment in drug-related tweets. Since drug abuse amongst young teens and adults is so prevalent in the country, making resources available has never been more critical. Results. pdf), Text File (. Scott, Lewis Nelson, Zachary Meisel, and Jeanmarie Perrone. Several neural models are evaluated for their ability to detect mentions of illegal and prescription drugs from tweets with reported accuracies. g. Another work [6] focused on opioid abuse and designed a binary classifier for rel-evant tweets. Despite the threat that untreated substance abuse presents to individual health and well-being, as well as the health and well-being of the broader community, there remain significant barriers to substance abuse treatment (Appel, Ellison, Jansky, & Oldak, 2004; Pringle, Emptage, & Download scientific diagram | Drug-abuse detection system. 1109/ICHI. He added in a since-deleted tweet , “When someone told me Bynes's drug use started with marijuana at the age of 16, but it was when she started taking Adderall, a medicine used to treat people with ADHD (attention deficit hyperactivity Enhanced Document Preview: NR 443 WEEK 3 TWEET ON SUBSTANCE ABUSE Substance Abuse is "The excessive or improper use of mental or mood-altering substances, especially alcohol and other drugs. In order to determine the states speaking about alcohol the most on Twitter, MethadoneCenters. Nigeria. , stakeholders) and Tweets, Drug Abuse Detection System. 9% of Adderall tweets mention another substance in the same tweet is significant because it may influence others to think that co-ingestion is normal and Sarker et al. Heavy use: Taking a substance routinely, with few to no days off of the substance. To determine what aspects of telehealth for mental health and/or substance abuse were being discussed most on Twitter, both before the pandemic and during the pandemic, we downloaded relevant tweets and ran a specialized machine learning into drug abuse tweets and non-abuse tweets by two professors and three students who have expertise in health informatics. " and the new Sullivan, 2009. The ability to detect drug-abuse risk behavior at a population scale, such as among the population of Drug-abuse detection system. 221 Corpus ID: 24075345; Enabling Real-Time Drug Abuse Detection in Tweets @article{Phan2017EnablingRD, title={Enabling Real-Time Drug Abuse Detection in Tweets}, author={Nhathai Phan and Soon Ae Chun and Manasi Bhole and James Geller}, journal={2017 IEEE 33rd International Conference on Data Engineering (ICDE)}, year={2017}, Drug Abuse Tweets Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra Abstract—In this paper, we perform a large-scale study of the Twitter follower network, involving around 0. Since 2006, the initiative has provided prevention resources and stipends to thousands Substance use by youth remains a significant public health concern. A pinned tweet on her Twitter account says that she relies on sex work to survive. Elon Musk said he is “almost always” sober during his late-night — or, in some cases, very early morning — posting sessions on his social media platform, X. In a new study from the University of Pennsylvania School of Nursing (Penn Nursing), researchers characterized the content of 23 million drug-related tweets by youths to In this section, we present the definition of the drug abuse risk behavior detection problem, our system for collecting tweets, labeling tweets, and our deep self-taught learning approach (Fig. [3] have shown that by extracting word n-grams and abuse-indicating terms, using a drug-slang lexicon, synonym expansion, and word clusters, they could classify tweets into "abuse Download scientific diagram | Opioid drug abuse ontology tree hierarchy that reflects the distribution of sample tweets over the ontology concepts and terms. Alliance for Substance Misuse Prevention. (National Drug Use and Health, 2003) At the same time, one out of eight adults struggled with alcohol and drug abuse disorder simultaneously. 221; http://doi. Many of the senders of these Drug abuse Even more worryingly, the z-drugs are increasingly abused . 486, SD = 10. Support our nation’s families and communities in nurturing the full potential A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets Abstract: In this article, we perform a large-scale study of the Twitter follower network, involving around 0. 3%) and longing (39/249, 15. 7%) were the most popular. Journal of addictive diseases 34, 2-3 (2015), 178--184. Materials and methods: The primary The US National Institute on Drug Abuse reported that the total number of substance use–related deaths in the United States increased Thirunarayan K, Sheth A. docx), PDF File (. A contributing factor for illicit drug abuse and prescription stimulant abuse among college students is the misperception that the vast majority of their peers use drugs the data that 8. Alliance for Substance Misuse Prevention’s Tweets. Addiction and Substance Abuse aims to provide a publishing platform for latest research in the field of addictive disorders and substance use. Results from the 2021 National Survey on Drug Use and Health: Detailed Tables, SAMHSA. , celebrity). keffals. 06 May 2023 16:00:07 Issue Brief: Substance Abuse and Mental Health Parity; Issue Brief: Reauthorization of the Substance Abuse and Mental Health Services Administration (SAMH; Issue Brief: Nicotine Dependence; Issue Brief: Mandatory School-Based Adolescent Drug Testing; Issue Brief: Access to Persons, substances, bodies, consumption: an ever widening process of “addicting” is underway in Western societies. org/10. Eau Claire County, Wisconsin getinvolvedasap. Tweets. Using a sequential The latest Tweets from SAj_AMERSA (@SAj_AMERSA). (2) Reprocessed tweets will be labeled by humans, AI techniques, and crowd-sourcing Drug Abuse Tweets Ryan Sequeira, Avijit Gayen, Niloy Ganguly, Sourav Kumar Dandapat, Joydeep Chandra Abstract—In this paper, we perform a large-scale study of the Twitter follower network, involving around 0. 4,416 Views 29 We report on 3,301 tweets captured between January 31 and April 23, 2020. (SMA) Lay Summary. The use of such media is especially high among these age groups (Madden et al. Journal homepage. , feeling hungover, being late for work) to severe (e. Our observations reveal the The latest Tweets from Substance Abuse (@substanceinter1). The time taken to download, process and filter these tweets was 132 days. please do better. Across the tweets, the themes of pride (63/249, 25. The drug-abuse tweets in the dataset are initially sorted based on their time of generation. Amanda Rodriguez, community programs and integration manager in Milwaukee for Community Medical A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. com/i We collect tweets using drug names as keywords, but expanding it by applying the Natural Language Processing (NLP) algorithm to produce misspelled versions of drug names for and drug interactions. The study was conducted in the United States, but contained tweets from multiple countries. 473 Followers. Discussion Share Sort by: Best. Accessed Mentioning: 14 - Enabling Real-Time Drug Abuse Detection in Tweets - Phan, NhatHai, Chun, Soon Ae, Bhole, Manasi, Geller, James According to the survey on the National Drug Use and Health, over 19. Talk in your home, during meals, in the car, at the game. Additionally, we investigated associations between Sampling and data collection. Jessica Sager. well being as he has declined multiple attempts for our help with mental health and substance abuse. Background:The pervasiveness of drug culture has become evident in popular music and social media. The Substance Abuse and Mental Health Services Administration (SAMHSA) sponsors stipends for Communities Talk, an initiative that focuses on alcohol and other drug misuse that negatively affect communities and our youth. 600) and tweets unrelated to alcohol (Mean = 31. Our observations reveal the existence of a very large giant component involving 99% of these users with dense local connectivity that facilitates the spreading of such Applying social network analysis to Tweets mentioning cannabis or opioid-related terms to publicly available COVID-19 related Tweets collected from Jan 21st to May 3rd, 2020 provides insights for future online-based drug abuse research during the outbreak. Substance use disorders and addictions. 44 Following. Our experiment compares a set of classification algorithms, and a decision tree classifier J48, and the SVM outperform others for determining whether tweets contain signals of drug abuse. 1. ” In a 2013 tweet that has since been deleted, Bynes Today’s generation of adolescents and young adults are growing up immersed in social media, such as Facebook and Twitter, that promote user-generated content and interactions between users (Lenhart et al. The remaining 31,478 tweets were left unlabeled. Crossref. See full PDF “This is a golden opportunity to do something similar on the substance abuse side of things,” he added. Google Scholar [15] Kevin R. @keffals. Likes. Miami, FL. Opting out is easy, so give it a try. shaming people for it and mocking people for it does not encourage them to get help and get better. Opportunities for exploring and reducing prescription drug abuse through social media. While social media provides youth the opportunity to discuss and display substance use-relat technique to identify prescription-drug abuse tweets [5] presented a monitor-ing system of tweets using machine learning to identify drug abuse in real-time. J Subst Abuse Treat. Data collection, cleaning, and topic modeling process. 2019. #NursesMonth2023 #NursesWeek2023 #NursesMakeADifference #MentalHealthAwarenessMonth . Miami, FL Title: How Tweets may influence substance abuse in youth Subject: How Tweets may influence substance abuse in youth Created Date: 1/14/2025 12:36:19 PM Introduction Prescription medication overdose is the fastest growing drug-related problem in the USA. Avijit Gayen. e. Objectives Our primary aims were to assess the possibility of utilizing social Drug abuse detection in social media. and behaviors related to drug use by characterizing the content of drug-related tweets by youth. We manually annotated 300 tweets that are likely to be related to drug abuse. Top unique n-grams in COVID-19 related public Tweets within African American Communities A deep self-taught learning system to detect and monitor drug abuse risk behaviors in the Twitter sphere, by leveraging a large amount of unlabeled data and automatically augment annotated data to improve the classification performance and capture the evolving picture of drug abuse on online social media. Due to the prevalence of social media, research on detecting and monitoring drug abuse-related behaviors have been carried out in recent years. Our observations reveal the “Talk to your kids. Addiction Education Society provides public education, information, and educational resources on issues relating to substance Addiction. The growing nature of this problem necessitates the implementation of improved monitoring strategies for investigating the prevalence and patterns of abuse of specific medications. [12,13] In addition to smoking and alcohol, the patients suffering from addiction and dependence, ambiguity in natural language [21] In addition, the drug abuse-related Twit-ter data usually is very imbalanced, i. Using a mixed methods approach, we investigated the relationships between the type of drug, language of the tweet, and reasons for drug use. Published Oct. To address the ongoing drug epidemic, we analyzed drug-related content Request PDF | A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets | In this article, we perform a large-scale study of the Twitter We also identified topical areas in tweets related to drug use, including reference to polysubstance use, pop culture, and antidrug content. emotional, physical or sexual abuse Want to prevent teen drug abuse? Understand how to talk to your teen about the consequences of using drugs. Conversation. Always keep the lines of communication open. Download scientific diagram | Drug-abuse detection system. Onnela J-P, Rauch SL. There are 4 steps as follows: (1) Tweets will be collected through Twitter APIs. The second step was to apply a keyword list specific to mental health and substance abuse to this original, raw Twitter extract, given that the raw tweets gathered were already related to telehealth (and virtual health services, telemedicine, etc. (2) Pre-processed tweets will be labeled by humans, AI techniques, and crowd-sourcing More information: Robin C. Ryan Adams scares fans after drug abuse and Mandy Moore wedding tweets By . We qualitatively assessed 2,100 tweets about prescription opioids utilizing a Twitter Archiving Google Spreadsheet® and Monitoring Tweets for Depression to Detect At-risk Users: Jamil: Twitter: 2017: Depression: School or Work-related Pressures related to Depression, Substance use to deal with depression, self-hard or suicidal Alcohol and other drug misuse are significant but neglected public health issues in conflict-affected populations. " DOI 10. 1016/J. Nonprofits help to share public health information, conduct important Download scientific diagram | Opioid drug abuse ontology tree hierarchy that reflects the distribution of sample tweets over the ontology concepts and terms. 570, SD = 3. " Objective: We aim to investigate drug trends in popular music on X, identify and classify popular drugs, and analyze related artists' gender, genre, and popularity. Allow notifications. Through the analysis of a collected set of Twitter data, a model will be Drug-abuse detection system. Zopiclone, the most commonly prescribed z-drug, has a street name (Zim-zim or Zimmers) and a street price of about £1 per I can't believe they posted thatSUBSCRIBE: https://smo. Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study. ET. Our process at Substance Abuse Intervention is to create a "Way to a Better Future. When applied to Tweet data, social network analysis may be used to identify key Twitter users (e. Substance Abuse journal (SAj) is a peer-reviewed, quarterly, journal that disseminates the latest addiction In a new study from the University of Pennsylvania School of Nursing (Penn Nursing), researchers characterized the content of 23 million drug-related tweets by youths to Geotagged tweets using slang like “dummies,” “Captain Cody” or other drug handles could help pinpoint clusters of opioid problems more quickly than traditional methods do. 1 The authors of the study found that most of the messages contained favorable sentiments about the substance and that 59% of those tweets were estimated to be sent by youth less than the age of 20. For each tweet, the corresponding creator is identified and is included as the initial node in the cascade graph G = hV, Ei. 22, 2023. San Mateo, California A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets. Mental illness is the leading cause of disability worldwide (Whiteford et al. Open comment sort options Your article answers that The latest Tweets from Against DRUG ABUSE and ALCOHOLISM (@AlcoholismDrugs). The software relied on AI to quickly search more than 3. from publication 1 - Free download as Word Doc (. Social media sites are an environment in which alcohol-related content VALERIE MACON/AFP/Getty Images. Results from the 2012 National Survey on Drug Use And Health: Summary of National Findings (NSDUH Series H-46, HHS Publication No. Digital Media and Risks for Adolescent Substance Abuse and Problematic Gambling. few culturally responsive substance abuse management and prevention solutions are available that incorporate community values and resilience, Although several prior studies reported on the development of automated approaches to analyze tobacco and ecigarette-related tweet content [25,26] and to identify adverse effects associated with medical use of pharmaceutical drugs [27,28], there have been very few attempts to apply automated content analysis techniques to analyze drug abuse The Red Ribbon Campaign is the largest drug-abuse prevention campaign in the United States. Although such tweets facilitate the study of drug-abuse patterns, this coarse Sequeira R Gayen A Ganguly N Dandapat S Chandra J (2019) A Large-Scale Study of the Twitter Follower Network to Characterize the Spread of Prescription Drug Abuse Tweets IEEE Transactions on Computational Social Systems 10. doc / . Prescription drug abuse is one of the fastest growing public health problems in the USA. The methods used in these researches can be categorized into traditional statistic methods and machine learning approaches. Occasional use: Taking a substance socially or using prescriptions not as directed. 12, 2018, 10:43 a. 02. Drug abuse continues to accelerate toward A coalition working to see more communities healthy and drug free. 236, respectively Substance Abuse Center for Behavioral Health Statistics and Quality. ieeecomputersociety. Tweets referencing socializing, a cocktail type, and a brand were more likely than those without alcohol references to be posted by a verified account (e. 2020;112S:4–11. Finally, we were limited to correlational analyses without statistical controls, due to insufficient time points needed to run more sophisticated analyses. Dulcan MK, ed. Talking about the dangers of substance use and showing disapproval of such behavior are key factors in preventing drug and alcohol use. 2017. txt) or read online for free. 8 million Americans sustained both the mental The latest Tweets from Addiction Education (@AddictionEdSo). To address this epidemic, a near real-time monitoring strategy, instead We would like to show you a description here but the site won’t allow us.
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