#TurntTrending: a systematic review of substance use portrayals on social media platforms

Addiction, Год журнала: 2022, Номер 118(2), С. 206 - 217

Опубликована: Сен. 8, 2022

There is a growing body of literature exploring the types substance-related content and their portrayals on various social media platforms. We aimed to summarize how related substances portrayed platforms.This systematic review was pre-registered PROSPERO (ref: CRD42021291853). A comprehensive search conducted in databases PubMed, Scopus, PsycINFO Web Science April 2021. Original qualitative studies published post-2004 that included thematic sentiment analyses tobacco, alcohol, psychostimulant, e-cigarette, cannabis, opiate, stimulant/amphetamine, inhalant novel psychoactive substance were included. Social platforms defined as online web- or application-based allowed users generate interact via 'liking', comment messaging features. Only summative and/or included.A total 73 studies, which covered 15 905 182 posts Twitter, YouTube, Instagram, Pinterest, TikTok Weibo, identified. 76.3% all positive its depiction use, with 20.2% depicting use negatively. Sentiment regarding opiate however commonly negative (55.5%). Most identified themes relating Health, Safety Harms (65.0%) use. Themes Promotions/Advertisements (63.3%), Informative (55.0%) Use behaviours (43.3%) also frequently identified.Substance-related promotes engagement actively depicts appears be widely available media. The large public presence this may have concerning influences attitudes, risk perceptions particularly among most vulnerable heaviest media-adolescents young adults.

Язык: Английский

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Seeing is believing: How cannabis marketing exposure is associated with cannabis use attitudes and behavior in a permissive medical cannabis policy environment

American Journal on Addictions, Год журнала: 2023, Номер 32(4), С. 333 - 342

Опубликована: Март 10, 2023

Oklahoma has a fast-growing medical cannabis industry, showing proliferation of industry marketing. While marketing exposure (CME) is risk factor for use and positive attitudes about use, no studies have examined the impact CME on behavior in permissive policy environment, like Oklahoma.N = 5428 adults ages 18 older completed assessments demographics, past 30-day to each four types marketing: outdoor (billboards, signs), social media, print (magazines), Internet. Regression models associations with towards harm perceptions, interest obtaining license (among nonlicensed participants), use.Three quarters (74.5%) reported any CME. Outdoor was most prevalent (61.1%), followed by media (46.5%), Internet (46.1%), (35.2%). Correlates included younger age, higher educational attainment income, license. In adjusted regression models, number sources were associated current behavior, cannabis, lower greater Similar between shown among noncannabis users.Public health messaging should be employed minimize potential adverse impacts CME.No correlates rapidly growing relatively unrestrained environment.

Язык: Английский

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The Investigation of Health-Related Topics on TikTok: A Descriptive Study Protocol

Digital, Год журнала: 2023, Номер 3(1), С. 97 - 108

Опубликована: Март 21, 2023

The social media application TikTok allows users to view and upload short-form videos. Recent evidence suggests it has significant potential for both industry health promoters influence public behaviours. This protocol describes a standardised, replicable process investigations that can be tailored various areas of research interest, allowing comparison content features across topics. first 50 appearing videos in each five relevant hashtags are sampled analysis. Utilising codebook with detailed definitions, engagement metadata variables applicable any area is captured, including an assessment the video’s overall sentiment (positive, negative, neutral). Additional specific coding developed provide targeted information about posted within selected hashtags. A descriptive, cross-sectional analysis applied generic data collected topic area. flexible replicated health-related may have wider on other platforms or assess changes over time. was by collaborative team child development researchers series Findings will used inform promotion messaging counter-advertising.

Язык: Английский

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Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses

Journal of Medical Internet Research, Год журнала: 2023, Номер 25, С. e48405 - e48405

Опубликована: Июль 28, 2023

Social media is an important information source for a growing subset of the population and can likely be leveraged to provide insight into evolving drug overdose epidemic. Twitter valuable trends, colloquial available potential users, how networks interactivity might influence what people are exposed they engage in communication around use.This exploratory study was designed investigate ways which unsupervised machine learning analyses using natural language processing could identify coherent themes tweets containing substance names.This involved harnessing data from Twitter, including large-scale collection brand name (N=262,607) street (N=204,068) prescription drug-related use (ie, processing) collected with visualization pertinent tweet themes. Latent Dirichlet allocation (LDA) coherence score calculations performed compare (eg, OxyContin) oxys) tweets.We found discussed differently depending on whether or used. Brand categories often contained political talking points border, crime, handling ongoing mitigation strategies). In contrast, names occasionally referenced misuse, though multiple social uses term Sonata) muddled topic clarity.Content corpus reflected discussion about itself less personal use. However, content notably more diverse resisted simple LDA categorization. We speculate this may reflect effective slang terminology clandestinely discuss activity. If so, straightforward digital difficult than previously assumed. This work has used surveillance detection harmful information. It also appropriate education dissemination persons engaged Twitter.

Язык: Английский

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Viral Vaping: A systematic review and meta analysis of e-cigarette and Tobacco-Related social media content and its influence on youth behaviours and attitudes

Addictive Behaviors, Год журнала: 2023, Номер 147, С. 107828 - 107828

Опубликована: Авг. 6, 2023

Язык: Английский

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The Impact of the COVID-19 Pandemic on Adolescent Substance Use

Current Pediatrics Reports, Год журнала: 2024, Номер 12(3), С. 62 - 68

Опубликована: Июнь 26, 2024

Язык: Английский

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Annual Research Review: Adolescent social media use is not a monolith: toward the study of specific social media components and individual differences

Journal of Child Psychology and Psychiatry, Год журнала: 2024, Номер unknown

Опубликована: Дек. 23, 2024

Social media have drastically changed the context of adolescent development. To date, majority research investigating effects these changes has measured time spent on social media, yielding inconclusive results—likely because this approach conceptualizes as a monolith. experiences are complex and diverse, adolescents themselves. Emerging identified several specific components that varied associations with mental health, well individual difference factors may alter across adolescents. In annual review, we synthesize evidence regarding heterogeneity in related to (a) (b) adolescents' differences use effects. We first focus components—content, features, functions—that be especially relevant for These include functions designed foster relationships connections (e.g., feeds, ‘friends’), hateful content, notifications, risky algorithmically curated among others. Next, provide an overview whom matter most. review explain some effects, including gender/sex, age, marginalized status, neurobiological sensitivities, other preexisting vulnerabilities health concerns. The nascent work areas suggests many constructs considerations could drive future examining nuanced precise questions go beyond ‘screen time’. discuss avenues researchers leverage methodological advancements address how shape developmental outcomes.

Язык: Английский

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Content Analysis of the Portrayal of Prescription Stimulants on TikTok

Journal of Attention Disorders, Год журнала: 2025, Номер unknown

Опубликована: Фев. 18, 2025

Background: TikTok has become a significant influence on public health perceptions, especially regarding ADHD. With its expansive reach among younger demographics, content the potential to shape understanding and behaviors related ADHD treatment. This study analyzed how prescription stimulants are depicted assess of these portrayals stimulant medication demand. Methods: We employed snowball sampling strategy collect 1,000 videos stimulants. A systematic analysis was conducted refined dataset 548 videos, identifying primary categories portrayals. Results: The which predominantly featured young adults, mainly white female, amassed an average over 300,000 views per video. Our uncovered four categories: Positive Effects, Negative Context Use, Systemic Challenges. Videos frequently substantial improvements in daily functionality emotional well-being attributed stimulants, with side effects presented as manageable. context use highlighted broad applications medications life, while systemic challenges focused issues such healthcare barriers, shortages, stigma. Conclusion: users’ portrayal were positive, emphasizing improved lifestyles, may demand similar direct-to-consumer advertising, particularly women. depiction barriers underscores complexity accessing treatment, disproportionately affect individuals impact treatment adherence, warranting further research into audience reception this content.

Язык: Английский

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Time Spent on Social Media and the Risk of Substance Use Among US Adolescents

Journal of Adolescence, Год журнала: 2025, Номер unknown

Опубликована: Апрель 6, 2025

Язык: Английский

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How to apply zero‐shot learning to text data in substance use research: An overview and tutorial with media data

Addiction, Год журнала: 2024, Номер 119(5), С. 951 - 959

Опубликована: Янв. 11, 2024

Abstract A vast amount of media‐related text data is generated daily in the form social media posts, news stories or academic articles. These provide opportunities for researchers to analyse and understand how substance‐related issues are being discussed. The main methods large (content analyses specifically trained deep‐learning models) require substantial manual annotation resources. machine‐learning approach called ‘zero‐shot learning’ may be quicker, more flexible fewer Zero‐shot learning uses models on large, unlabelled (or weakly labelled) sets classify previously unseen into categories which model has not been trained. This means that a pre‐existing zero‐shot can used without need task‐specific training. particularly important analysing time critical. article describes relatively new concept it applied substance use research, including brief practical tutorial.

Язык: Английский

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