#drunktwitter: Examining the relations between alcohol-related Twitter content and alcohol willingness and use among underage young adults

Cross-substance Effects of Adolescent Exposure to Alcohol Content in Popular Movies on Cannabis Initiation

Objective

Alcohol is the most frequently depicted substance in the media, and adolescent exposure to alcohol in the media predicts alcohol use. There is relatively little research on exposure to cannabis in the media, but exposure to alcohol content may exert cross-substance effects on cannabis use. Given the social and health risks associated with early cannabis use, the present study aims to assess the cross-substance effects of exposure to alcohol media content on age of cannabis initiation.

Method

A sample of 830 middle school students (53% female) reported on movie alcohol exposure and cannabis initiation longitudinally until high school completion. Discrete-time survival models examined whether movie alcohol exposure predicted subsequent initiation among students who were cannabis-naïve at baseline, controlling for demographic, social, and behavioral covariates. The interaction between sex and movie alcohol exposure was also explored.

Results

One third (33%) of participants reported cannabis initiation with a mean of 5.57 estimated hours (SD = 4.29) of movie alcohol exposure. A 1-hour increase in movie exposure predicted a significant 16% increased probability of cannabis initiation in models adjusted for demographic variables and a significant 14% increase in models adjusted for demographic, behavioral, and social variables. No differences were observed across sex.

Conclusions

Greater adolescent exposure to alcohol content in the media was associated with earlier cannabis initiation above and beyond other etiologically relevant demographic, behavioral, and social variables. The influence of cross-substance media exposures warrants further exploration and should be taken into consideration in the development of preventive interventions for youth substance use.

First Comes Substance Use, Then Comes Social Media Posts? Examining the Temporal Ordering and Relative Strength of Relations Across Alcohol, Tobacco and Marijuana Use and Posting Behavior

Social media posts represent a major route by which youth share their substance use cognitions and experiences with others. Extant research has primarily examined relations between alcohol-related posts and posters' own alcohol use, yet little is known about the role of social media in the use of less socially accepted substances, namely tobacco and marijuana. Our study represents the first to examine the relative strength of this relation across alcohol, tobacco, and marijuana. The current research used a one-month time lag to tease apart the temporal ordering of substance-use-posting and participants' own substance use. A sample of 282 15-20-year-olds (Mage = 18.4, SD = 1.3, 52.9% female) in the United States completed two self-report surveys, one month apart. Results of a cross-lagged panel model revealed significant effects of alcohol and marijuana consumption on subsequent alcohol- and marijuana-related posting, respectively (i.e., selection effects). However, reverse relations (i.e., self-effects) were not significant. Further, we found no differences in the strength of selection effects across substances, suggesting they are similar for both more (alcohol) and less (marijuana and tobacco) socially acceptable substances. Results point to the importance of using young people's social media posts as a way to help identify individuals at risk for heightened substance use and social media as a mechanism for targeted prevention programming.

Development of the lyrics-based deep learning algorithm for identifying alcohol-related words (LYDIA)

BACKGROUND

Music is an integral part of our lives and is often played in public places like restaurants. People exposed to music that contained alcohol-related lyrics in a bar scenario consumed significantly more alcohol than those exposed to music with less alcohol-related lyrics. Existing methods to quantify alcohol exposure in song lyrics have used manual annotation that is burdensome and time intensive. In this paper, we aim to build a deep learning algorithm (LYDIA) that can automatically detect and identify alcohol exposure and its context in song lyrics.

METHODS

We identified 673 potentially alcohol-related words including brand names, urban slang, and beverage names. We collected all the lyrics from the Billboard's top-100 songs from 1959 to 2020 (N = 6110). We developed an annotation tool to annotate both the alcohol-relation of the word (alcohol, non-alcohol, or unsure) and the context (positive, negative, or neutral) of the word in the song lyrics.

RESULTS

LYDIA achieved an accuracy of 86.6% in identifying the alcohol-relation of the word, and 72.9% in identifying its context. LYDIA can distinguish with an accuracy of 97.24% between the words that have positive and negative relation to alcohol; and with an accuracy of 98.37% between the positive and negative context.

CONCLUSION

LYDIA can automatically identify alcohol exposure and its context in song lyrics, which will allow for the swift analysis of future lyrics and can be used to help raise awareness about the amount of alcohol in music. Highlights Developed a deep learning algorithm (LYDIA) to identify alcohol words in songs. LYDIA achieved an accuracy of 86.6% in identifying alcohol-relation of the words. LYDIA's accuracy in identifying positive, negative, or neutral context was 72.9%. LYDIA can automatically provide evidence of alcohol in millions of songs. This can raise awareness of harms of listening to songs with alcohol words.

A systematic review and meta-analysis of the relationship between youth drinking, self-posting of alcohol use and other social media engagement (2012-21)

BACKGROUND AND AIM

Social networking sites (SNS) are interactive internet-based social platforms that facilitate information sharing. A growing body of literature on exposure to, and self-posting of, alcohol-related content on SNS has examined the relationship between SNS use and alcohol consumption in young people. This study aims to synthesise the literature exploring the relationship between exposure (i.e. viewing or listening of alcohol-related media) and self-posting (i.e. uploading images or text of alcohol content) of alcohol-related media on SNS on alcohol consumption.

METHODS

A pre-registered systematic review was conducted in June 2022 within PubMed, Scopus, PsycINFO and Web of Science. Original prospective and cross-sectional studies assessing youth and young adults (≤ 24 years of age) that measured exposure to alcohol-related media or posting of alcohol-related content on SNS and self-reported alcohol consumption outcomes were included. Meta-analyses were conducted on comparable methodologies.

RESULTS

Thirty studies were included (n = 19,386). Meta-analyses of cross-sectional studies showed both greater exposure (five studies; pooled β = 0.34, 95% confidence interval [CI] = 0.23, 0.44, i2 = 27.7%) and self-posting of alcohol-related content (six studies; pooled β = 0.57, 95%CI = 0.25,0.88, i2 = 97.8%) was associated with greater alcohol consumption. Meta-analyses of three prospective studies also identified that greater exposure predicted greater future alcohol consumption (three studies; pooled β = 0.13, 95%CI = 0.11,0.15, i2 = 0.0%). Narrative analyses of studies that could not be meta-analysed due to incompatible methodologies were also conducted. Most studies (all four prospective, one of two cross-sectional) identified positive associations between exposure to alcohol-related content and greater average consumption. Most studies (three of four prospective, four of six cross-sectional) reported a positive association between of alcohol-related self-posting and greater average alcohol consumption.

CONCLUSIONS

Both exposure to, and self-posting of, alcohol-related content on social networking sites are positively associated with current average consumption, problem drinking, and drinking frequency.

Public Health Surveillance of Behavioral Cancer Risk Factors During the COVID-19 Pandemic: Sentiment and Emotion Analysis of Twitter Data

BACKGROUND

The COVID-19 pandemic and its associated public health mitigation strategies have dramatically changed patterns of daily life activities worldwide, resulting in unintentional consequences on behavioral risk factors, including smoking, alcohol consumption, poor nutrition, and physical inactivity. The infodemic of social media data may provide novel opportunities for evaluating changes related to behavioral risk factors during the pandemic.

OBJECTIVE

We explored the feasibility of conducting a sentiment and emotion analysis using Twitter data to evaluate behavioral cancer risk factors (physical inactivity, poor nutrition, alcohol consumption, and smoking) over time during the first year of the COVID-19 pandemic.

METHODS

Tweets during 2020 relating to the COVID-19 pandemic and the 4 cancer risk factors were extracted from the George Washington University Libraries Dataverse. Tweets were defined and filtered using keywords to create 4 data sets. We trained and tested a machine learning classifier using a prelabeled Twitter data set. This was applied to determine the sentiment (positive, negative, or neutral) of each tweet. A natural language processing package was used to identify the emotions (anger, anticipation, disgust, fear, joy, sadness, surprise, and trust) based on the words contained in the tweets. Sentiments and emotions for each of the risk factors were evaluated over time and analyzed to identify keywords that emerged.

RESULTS

The sentiment analysis revealed that 56.69% (51,479/90,813) of the tweets about physical activity were positive, 16.4% (14,893/90,813) were negative, and 26.91% (24,441/90,813) were neutral. Similar patterns were observed for nutrition, where 55.44% (27,939/50,396), 15.78% (7950/50,396), and 28.79% (14,507/50,396) of the tweets were positive, negative, and neutral, respectively. For alcohol, the proportions of positive, negative, and neutral tweets were 46.85% (34,897/74,484), 22.9% (17,056/74,484), and 30.25% (22,531/74,484), respectively, and for smoking, they were 41.2% (11,628/28,220), 24.23% (6839/28,220), and 34.56% (9753/28,220), respectively. The sentiments were relatively stable over time. The emotion analysis suggests that the most common emotion expressed across physical activity and nutrition tweets was trust (69,495/320,741, 21.67% and 42,324/176,564, 23.97%, respectively); for alcohol, it was joy (49,147/273,128, 17.99%); and for smoking, it was fear (23,066/110,256, 20.92%). The emotions expressed remained relatively constant over the observed period. An analysis of the most frequent words tweeted revealed further insights into common themes expressed in relation to some of the risk factors and possible sources of bias.

CONCLUSIONS

This analysis provided insight into behavioral cancer risk factors as expressed on Twitter during the first year of the COVID-19 pandemic. It was feasible to extract tweets relating to all 4 risk factors, and most tweets had a positive sentiment with varied emotions across the different data sets. Although these results can play a role in promoting public health, a deeper dive via qualitative analysis can be conducted to provide a contextual examination of each tweet.

Experimental Test of Abstaining-and-Drinking Social Media Content on Adolescent and Young Adult Social Norms and Alcohol Use

OBJECTIVE

Experimental research has demonstrated that when alcohol-related content is viewed on social media, adolescents and young adults tend to have favorable attitudes toward alcohol use. However, limited research focuses on social media norms for abstaining from alcohol use. The current study examined the role of descriptive and injunctive alcohol-abstaining-and-drinking norms via experimentally manipulated social media profiles. Experimental effects on descriptive and injunctive normative perceptions and subsequent behavior were tested.

METHOD

Participants (N = 306; ages 15-20 years) were recruited from the Seattle metropolitan area to complete a baseline survey and view researcher-fabricated social media profiles. Using stratified random assignment (birth sex and age), participants were randomized into one of three conditions: (a) alcohol abstaining and drinking, (b) alcohol abstaining, and (c) attention control.

RESULTS

The alcohol-abstaining-and-drinking condition reported greater drinking descriptive norms compared with participants in either the alcohol-abstaining or the attention-control conditions at post-experiment and 1-month follow-up. The alcohol-abstaining-and-drinking condition reported lower abstaining descriptive norms (i.e., perceiving fewer peers abstain) compared with those in the alcohol-abstaining condition at post-experiment and lower abstaining injunctive norms compared with those in the attention-control condition at 1-month follow-up.

CONCLUSIONS

Exposure to social media profiles containing both alcohol-drinking and alcohol-abstaining messages was respectively associated with individuals perceiving that peers were consuming alcohol more often and that fewer peers were abstaining. The present findings are consistent with prior experimental research that indicates alcohol displays on social media are associated with riskier drinking cognitions.

Frequency and Timing of Sent and Received Alcohol-Related Text Messages: Associations with Alcohol Use and Related Consequences among Adolescents and Young Adults

Background: Research supports the notion that adolescents and young adults communicate about alcohol via text messages and that this form of communication is associated with alcohol use. However, little is known about how this compares to social media content sharing or about the timing of sending and receiving alcohol-related text messages and associations with alcohol-related outcomes. The present study aimed to 1) document whether adolescents and young adults are willing to share alcohol content via text messages they are not willing to share via social media, and 2) determine associations between frequency and timing of alcohol-related text messages (both sent and received) with self-reported alcohol use and consequences. Methods: A total of 409 participants (63.30% female; age 15-25, M = 21.10, SD = 2.69) completed a baseline survey as part of a larger study. Results: While 84.50% of participants reported that they were willing to send text messages referencing alcohol that they would not share on social media, 90.00% reported that their friends would be willing to do so. Results of negative binomial regressions indicated that sending and receiving more alcohol-related text messages per week and sending and receiving text messages before and during drinking, but not after drinking, were positively associated with typical drinks per week. Neither frequency of sending and receiving text messages or timing (before, during, after) were associated with negative consequences. Conclusions: Results suggest that frequency and timing of alcohol-related text messaging may provide insights into alcohol consumption patterns among adolescents and young adults and warrants future research.

Posting alcohol-related content on social media: Comparing college student posters and non-posters

Social networking sites (SNSs) are popular among college-aged adults. The defining characteristic of SNSs is that they are a platform to electronically share content. Most students report posting alcohol-related content (ARC) on SNSs. Little is known concerning these students who consume both alcohol and ARC yet choose not to generate ARC.

OBJECTIVE

The purpose of the current study was to compare key characteristics of posters and non-posters and develop a measure assessing reasons for not posting ARC.

METHOD

The researchers recruited a diverse sample of 1063 college students from two universities for an online study.

RESULTS

Relative to posters of ARC, non-posters tend to drink less, have fewer alcohol-related problems, and report fewer reasons for drinking. Non-posters also report viewing several positive and negative consequences of drinking on SNSs, but at lower levels than ARC posters. The Reasons Not to Post ARC Scale was correlated with common alcohol measures (drinking motives, drinking problems) and self-monitoring. The scale was not correlated with some other measures (posting and sharing alcohol-related content).

CONCLUSIONS

Given the dominant echo chamber effects of ARC on SNSs, examining non-posters can provide insight into the cognitions that might prevent others from joining the ARC social media culture.

The alcohol self-presentation model: Using thematic qualitative analysis to elucidate how college students self-present via alcohol-related social media posts

INTRODUCTION

Posting and viewing of alcohol-related content to social media is prevalent among college students and is related to problematic drinking. However, the cognitive self-presentation and self-monitoring processes behind users' alcohol-related content posts to different platforms are largely unknown.

METHODS

Through in-depth, qualitative interviews with college students (n = 15) who drink heavily and post alcohol-related content regularly, we developed the Alcohol Self-Presentation Model.

RESULTS

Using a multi-step thematic analysis approach, the themes of protectiveness and acquisitiveness emerged; these themes served as the basis of our model. In total, three protectiveness (perceived permanence of the content, privacy and reputation concerns) factors and four acquisitiveness (provocative, impulsive, high-status, maintaining relevance and connections) factors were derived.

DISCUSSION AND CONCLUSIONS

Our model delineated the alcohol self-presentations which allowed participants to demonstrate disparate versions of themselves to certain social media audiences. Our results illuminated that what people identify as being alcohol-related content, and what motivates the individual to post alcohol-related content, are essential to better comprehending how their alcohol-related content uniquely contributes to their drinking. Understanding students' alcohol self-presentations is important since their alcohol-related content may be putting themselves, and others, at-risk by perpetuating patterns of frequent posting and heavy drinking within the network. Our model may inform future behavioural interventions targeting the reduction of drinking among young people who are active on social media.

Associations between heavy drinker’s alcohol-related social media exposures and personal beliefs and attitudes regarding alcohol treatment

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Social media exposures were associated with alcohol treatment-seeking intentions.

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Exposure to peer pro-drinking posts was negatively associated with intentions.

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Exposure to peer treatment/recovery posts was positively associated with intentions.

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Associations explained partially by attitudes toward treatment effectiveness and stigma.

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Social media-based recovery narratives may promote treatment and recovery seeking.

Objective

Social media use among American adults is ubiquitous. Alcohol-related social media posts often glamorize heavy drinking, with increased exposure to such content associated with greater alcohol use. Comparatively less is known, however, about how social media promotes alcohol-related health behavior change. Greater scientific knowledge in this area may enhance our understanding of the relationship between social media and alcohol behaviors, helping to inform clinical and public health recommendations. We examined the relationship between exposure to peer alcohol-related social media posts (pro-drinking, negative consequences, and pro-treatment/recovery) and treatment-seeking intentions among heavy drinkers, as well as potential mediators of the relationship (e.g., attitudes toward treatment effectiveness).

Method

Hazardous drinking adults (aged 18–55 years) who use social media (N = 499) completed an online questionnaire. Linear regression analysis examined the association between alcohol-related social media exposures and treatment-seeking intentions. Mediation was tested using structural equation modelling

Results

Exposure to peer pro-drinking posts was negatively associated with intentions to seek treatment (β = -0.67, p < 0.01), whereas exposures to peer alcohol-related negative consequences posts and peer posts about positive experiences with treatment/recovery were positively associated with treatment-seeking intentions (β = 0.69, p < 0.01; β = 1.23, p < 0.001, respectively). Mediation analysis concluded the effect of exposures on intentions was explained partially by attitudes toward treatment effectiveness (25.5%) and alcohol treatment stigma (6.1%). Conclusions: Findings suggest peers’ alcohol-related social media posts may both promote and hinder health behavior change depending on the nature of the post. Future research that develops and tests social media-delivered interventions to promote treatment and recovery seeking is warranted.

Social networking site use and alcohol use behaviors among adolescents: A latent profile analysis

BACKGROUND

Adolescent exposure to alcohol-related social networking site (SNS) content is associated with their own alcohol use. However, there is a need to better understand the relationship between varying levels of adolescent SNS use and alcohol-related risks. In this study, we sought to identify distinct patterns of SNS use across multiple platforms (Facebook, Instagram, and Snapchat) and to assess associations between those patterns and alcohol use outcomes.

METHODS

Data were collected as part of a baseline assessment for a larger longitudinal experimental study. Participants (N = 306, age 15-20) completed measures of demographics, SNS use, and alcohol use.

RESULTS

Using latent profile analysis (LPA), three SNS use profiles were empirically derived: low SNS users (27.5%), high frequency, low duration users (47.4%), and high frequency, high duration users (25.2%). Significant differences in daily drinking (F [2, 301] = 3.39, p = 0.035) and AUDIT scores (F [2, 289] = 6.15, p = 0.002) were observed for the three profiles, with members of the high frequency, high duration profile reporting significantly more weekly drinks and higher AUDIT scores when compared to the other two profiles.

CONCLUSION

These findings imply that a combination of high frequency and high duration SNS use may place individuals at risk for potentially problematic drinking. Given many clinicians have limited opportunities to delve into their patients' SNS use patterns, results suggest that a simple understanding of frequency and duration of use may provide enough information to indicate who may be at risk.

A Parent-Based Intervention for Reducing High-risk Social Media Cognitions, Alcohol Use, and Negative Consequences Among Adolescents: Protocol for a Randomized Controlled Pilot Study

BACKGROUND

The prevalence of adolescent alcohol use continues to be a public health concern. Although adolescents spend an increasing amount of time with their friends, parents remain an important source of support and continue to play a key role in the lives of their adolescents. Extensive research in this area has resulted in parent-based intervention (PBI) efforts to prevent or reduce adolescent alcohol use. However, one major limitation of PBIs is that they do not currently consider the large role that social media plays in adolescents' lives and in relation to their alcohol use. We will add to the literature by developing and refining a web-based PBI designed to reduce both high-risk social media cognitions and alcohol use among adolescents.

OBJECTIVE

The central goal of the proposed study is to develop, refine, and pilot a web-based PBI to reduce both high-risk social media cognitions and alcohol use among adolescents.

METHODS

A total of 100 parent-teen dyads will be randomly assigned to one of the following 2 conditions: intervention or control. Parents in the intervention group will be given access to the web-based PBI and suggestions for working through the PBI modules with their teens. The parent-teen dyads will fill out 3 questionnaires: a baseline questionnaire, 1-month questionnaire, and 6-month questionnaire.

RESULTS

Recruitment and enrollment will begin in August 2022. Upon completion of the intervention trial, we will examine the feasibility, acceptability, and preliminary effect sizes of the newly developed web-based PBI.

CONCLUSIONS

This study has the potential to open doors for future studies examining the clinical implications of an efficacious web-based PBI to reduce alcohol use and high-risk cognitions about alcohol displays on social media.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04333966; https://clinicaltrials.gov/ct2/show/NCT04333966.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/38543.

When are alcohol-related blackout Tweets written in the United States?

BACKGROUND

Alcohol use varies throughout the year and often peaks on weekends or during celebrations (e.g., New Year's). There is not a perfect correlation between alcohol use and negative consequences, and the extent to which one particularly risky consequence-an alcohol-related blackout-is more common during certain times of the year is unknown. Identifying when blackouts occur may help identify which periods are associated with more risk and be critical in designing public health campaigns. Thus, we examined Twitter data to ascertain whether alcohol-related blackouts occur more during certain holidays/celebrations than typical weekends and whether they differed in timing from general alcohol-related Tweets.

METHODS

We used a Twitter-sponsored platform to access unique Tweets written in the United States referencing blackouts (e.g., "blackout") and alcohol generally (e.g., "drunk").

RESULTS

The final dataset included 3.5 million blackout Tweets and 591 million alcohol Tweets (written between 2009 and 2020). Both blackout and alcohol Tweets were written in the late evening, on weekends, and during certain holidays (New Years, St. Patrick's). However, relative to typical weekends, only blackout Tweets were more common during Thanksgiving and only general alcohol-related Tweets were more common during Cinco de Mayo.

CONCLUSION

While blackout and alcohol-related Tweets were similar in time of day (peaking in the evening) and day of week (peaking on weekends), they differed during certain celebrations/holidays, suggesting that while alcohol use may be more common during some celebrations, others are more associated with serious harms.

Likelihood of Posting Alcohol-Related Content on Social Networking Sites - Measurement Development and Initial Validation

Background: The vast majority of adolescents and young adults are active on social networking sites (SNSs). SNSs are influential, risk-conducive environments for alcohol use among adolescents and young adults. Specifically, posting or sharing alcohol-related content (ARC) is associated with higher levels of alcohol use. However, it is unknown if sharing different types of ARC associates differentially with alcohol use and consequences. Objective: The goal of the current project was to develop a measure of the likelihood of posting key types of ARC posted by adolescents and young adults and to examine their associations with SNS use patterns and actual alcohol-related behavior. Method: Participants were 15-20 years of age (n = 306; 46.7% male; 56.6% Caucasian/White; 27.0% Asian) who completed a battery of self-report measures. Results: Results from an exploratory factor analysis revealed four types of ARC: (1) self and friend consumption, (2) memes and viral photos, (3) status updates: others' drinking and consequences, and (4) pictures: others' drinking and consequences. Conclusions: Participants' likelihood of posting self and Friend Consumption was significantly associated with heightened Snapchat use, typical drinks per week, peak drinking, and negative drinking consequences. Whereas youth appear to share more readily alcohol-related viral posts and memes, it seems that the sharing of ARC that is specifically related to the participants' own use or friends' use is salient concerning alcohol use and problems. Therefore, interventions might consider sending targeted prevention messages to individuals who share certain types of ARC which are more associated with problematic alcohol behaviors.

Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors

There is a need for real-time and predictive data on alcohol use both broadly and specific to HIV. However, substance use and HIV data often suffer from lag times in reporting as they are typically measured from surveys, clinical case visits and other methods requiring extensive time for collection and analysis. Social big data might help to address this problem and be used to provide near real-time assessments of people's alcohol use and/or alcohol. This manuscript describes three types of social data sources (i.e., social media data, internet search data, and wearable device data) that might be used in surveillance of alcohol and HIV, and then discusses the implications and potential of implementing them as additional tools for public health surveillance.

Mothers Matter: Using Regression Tree Algorithms to Predict Adolescents' Sharing of Drunk References on Social Media

Exposure to online drinking on social media is associated with real-life alcohol consumption. Building on the Theory of planned behavior, the current study substantially adds to this line of research by identifying the predictors of sharing drunk references on social media. Based on a cross-sectional survey among 1639 adolescents with a mean age of 15 (59% female), this study compares and discusses multiple regression tree algorithms predicting the sharing of drunk references. More specifically, this paper compares the accuracy of classification and regression tree, bagging, random forest and extreme gradient boosting algorithms. The analysis indicates that four concepts are central to predicting adolescents' sharing of drunk references: (1) exposure to them on social media; (2) the perceived injunctive norms of the mother towards alcohol consumption; (3) the perceived descriptive norms of best friends towards alcohol consumption; and (4) willingness to drink alcohol. The most accurate results were obtained using extreme gradient boosting. This study provides theoretical, practical, and methodological conclusions. It shows that maternal norms toward alcohol consumption are a central predictor for sharing drunk references. Therefore, future media literacy interventions should take an ecological perspective. In addition, this analysis indicates that regression trees are an advantageous method in youth research, combining accurate predictions with straightforward interpretations.

Perceptions surpass reality: Self-reported alcohol-related communication on Instagram is more strongly related with frequency of alcohol consumption and binge drinking than actual alcohol-related communication

Mounting research finds that sharing alcohol references on social media is related to higher levels of alcohol consumption. The present study aims to improve our understanding of potential biases when using self-report measures, to provide more insight in the differences between background and foreground alcohol references, and to examine different drinking patterns. We examined the Instagram profiles of 128 Belgian college students (M_age = 21.31, SD = 1.50; 64.8 % women) and compared how the observed number of pictures depicting alcohol in the background or in the foreground as well as self-reports on their frequency of sharing alcohol-related content was associated with frequency of alcohol consumption, typical quantity consumed and frequency of binge drinking. Results demonstrated that self-reported frequency of sharing alcohol references and observed number of alcohol-in-the-foreground references were positively related to participants' alcohol consumption. However, self-reports were a stronger predictor of alcohol consumption than alcohol-in-the-foreground references, and were most strongly related to binge drinking. Alcohol-in-the-background references were not significant. This means that the relationship between sharing alcohol posts and drinking behavior is overinflated in studies relying solely on self-report data.

Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes

BACKGROUND

Many social media studies have explored the ability of thematic structures, such as hashtags and subreddits, to identify information related to a wide variety of mental health disorders. However, studies and models trained on specific themed communities are often difficult to apply to different social media platforms and related outcomes. A deep learning framework using thematic structures from Reddit and Twitter can have distinct advantages for studying alcohol abuse, particularly among the youth in the United States.

OBJECTIVE

This study proposes a new deep learning pipeline that uses thematic structures to identify alcohol-related content across different platforms. We apply our method on Twitter to determine the association of the prevalence of alcohol-related tweets with alcohol-related outcomes reported from the National Institute of Alcoholism and Alcohol Abuse, Centers for Disease Control Behavioral Risk Factor Surveillance System, county health rankings, and the National Industry Classification System.

METHODS

The Bidirectional Encoder Representations From Transformers neural network learned to classify 1,302,524 Reddit posts as either alcohol-related or control subreddits. The trained model identified 24 alcohol-related hashtags from an unlabeled data set of 843,769 random tweets. Querying alcohol-related hashtags identified 25,558,846 alcohol-related tweets, including 790,544 location-specific (geotagged) tweets. We calculated the correlation between the prevalence of alcohol-related tweets and alcohol-related outcomes, controlling for confounding effects of age, sex, income, education, and self-reported race, as recorded by the 2013-2018 American Community Survey.

RESULTS

Significant associations were observed: between alcohol-hashtagged tweets and alcohol consumption (P=.01) and heavy drinking (P=.005) but not binge drinking (P=.37), self-reported at the metropolitan-micropolitan statistical area level; between alcohol-hashtagged tweets and self-reported excessive drinking behavior (P=.03) but not motor vehicle fatalities involving alcohol (P=.21); between alcohol-hashtagged tweets and the number of breweries (P<.001), wineries (P<.001), and beer, wine, and liquor stores (P<.001) but not drinking places (P=.23), per capita at the US county and county-equivalent level; and between alcohol-hashtagged tweets and all gallons of ethanol consumed (P<.001), as well as ethanol consumed from wine (P<.001) and liquor (P=.01) sources but not beer (P=.63), at the US state level.

CONCLUSIONS

Here, we present a novel natural language processing pipeline developed using Reddit's alcohol-related subreddits that identify highly specific alcohol-related Twitter hashtags. The prevalence of identified hashtags contains interpretable information about alcohol consumption at both coarse (eg, US state) and fine-grained (eg, metropolitan-micropolitan statistical area level and county) geographical designations. This approach can expand research and deep learning interventions on alcohol abuse and other behavioral health outcomes.

A Prospective Longitudinal Cohort Study of College Students' Alcohol and Abstinence Displays on Social Media

PURPOSE

The past decade has seen tremendous growth in research focused on understanding college students' alcohol-related social media displays. However, longitudinal studies remain rare. The purpose of this 5-year study was to describe alcohol and abstinence display patterns on Facebook.

METHODS

This prospective longitudinal cohort study recruited incoming 17- to 19-year-old college students from two universities upon entering college. Trained coders evaluated Facebook profiles monthly over five years to identify alcohol and abstinence displays. Alcohol displays were further categorized as general alcohol use or intoxication/problem drinking references. Analyses included multivariate negative binomial regression.

RESULTS

Among 338 participants recruited (mean age = 18.4, SD = .6), 56.1% were female, 74.8% were Caucasian, and 58.8% were from the Midwest college. General alcohol use references were most common in the spring semester of the third year (mean = 3.9 displays; 95% CI: 3.21-4.73), these often included references to a "21 run." Intoxication/problem drinking references were most common in spring semester of the first year (mean = .79 displays, 95% confidence interval: .56-1.10) and second year of college (mean = .77 displays, 95% confidence interval: .54-1.11). There were no gender differences associated with alcohol displays at any time point. Abstinence displays were rare and declined in frequency to a low of four total displays in year 5.

CONCLUSIONS

This 5-year study is the first to document patterns of alcohol and abstinence displays throughout the undergraduate experience. Findings may inform planning targeted interventions by time point, or longitudinal studies of other substances or on different platforms.

An experimental investigation of peer rejection and social anxiety on alcohol and cannabis use willingness: Accounting for social contexts and use cues in the laboratory

OBJECTIVE

Evidence suggests that social anxiety (SA) is a risk factor for problematic alcohol and cannabis use, particularly during states of social stress. Unfortunately, laboratory studies to date have overlooked decision-making mechanisms (e.g., use willingness) and contextual features of commonly used social stress tasks that may clarify what is driving these links. The current study begins to address this gap by testing the effects of SA and laboratory-induced peer rejection on acute alcohol and cannabis use willingness within a simulated party setting.

METHOD

80 emerging adults (18-25 years; 70% women) endorsing lifetime alcohol and cannabis use were randomly assigned to experience rejection or neutral social cues. They rated their willingness to use alcohol and cannabis before and after cue exposure within the simulated party. A hierarchical regression tested the main and interaction effects of SA symptoms and experimental condition (Rejection vs. Neutral) on alcohol and cannabis use willingness, controlling for past-year use frequency and willingness to accept any offers (e.g., food and nonalcoholic drinks).

RESULTS

There were statistically significant main (but not interaction) effects of SA and experimental condition on cannabis use willingness. Higher SA and Rejection exposure were each associated with greater cannabis use willingness. There were neither main nor interaction effects on alcohol willingness.

CONCLUSIONS

Results suggest that elevated SA increases cannabis use willingness across social contexts, regardless of Rejection exposure, while Rejection exposure increases use willingness similarly across levels of SA. Together, findings reinforce the need to consider social-contextual factors and polysubstance use in laboratory settings. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Double Vision on Social Media: How Self-Generated Alcohol-Related Content Posts Moderate the Link between Viewing Others' Posts and Drinking

A robust finding is the positive association between self-generated alcohol-related content (SG-ARC) on social media (SM) and drinking among emerging adults; however, the reasons for this relationship are still unclear. A factor that has yet to be explored in combination with SG-ARC is how viewing others' alcohol-related content (ARC) may be impacting young adults' drinking. This cross-sectional study conducted across two universities asked students (N = 780; M = 20.80 years old; SD = 2.29; 67.82% female) to self-report how many SG-ARC posts they posted, to estimate how much they saw others' ARC, and how much they drank weekly. SG-ARC was then evaluated as a moderator of the association between viewing others' ARC and drinking. A negative binomial regression model with robust sandwich estimators was employed. Results revealed that both SG-ARC and viewing others' ARC were positively associated with drinking. A significant two-way interaction between SG-ARC and others' ARC emerged such that viewing others' posts appeared to exert an influence on drinking, particularly for students who did not post as many SG-ARC posts. These findings provide evidence that seeing others' ARC may be socially influencing students to drink, especially if they do not post as much SG-ARC themselves, by altering their internalized drinking norms.

Describing the impact of the COVID-19 pandemic on alcohol-induced blackout tweets

Introduction and Aims

COVID‐19, considered a pandemic by the World Health Organization, overwhelmed hospitals in the USA. In parallel to the growing pandemic, alcohol sales grew in the USA, with people stockpiling alcohol. Alcohol‐induced blackouts are one particularly concerning consequence of heavy drinking, and the extent to which blackout prevalence may change in the context of a pandemic is unknown. The purpose of the current study is to describe the prevalence of publicly available tweets in the USA referencing alcohol‐induced blackouts prior to and during the COVID‐19 outbreak.

Design and Methods

We used Crimson Hexagon's ForSight tool to access all original English tweets written in the USA that referenced alcohol‐related blackouts in 2019 and 2020. Using infoveillance methods, we tracked changes in the number and proportion of tweets about blackouts.

Results

More alcohol‐related blackout tweets were written between 13 March and 24 April in 2020 than 2019. In addition, a greater proportion of all tweets referenced blackouts in 2020 than in 2019. In the period prior to the ‘stay at home’ orders (January to mid‐March), the proportion of blackout tweets were higher in 2020 than 2019.

Discussion and Conclusion

Our findings demonstrate that references to high‐risk drinking persist during the pandemic despite restrictions on large social gatherings. Given that the internet is a common source of information for COVID‐19, the frequent posting about blackouts during this period might normalise the behaviour. This is concerning because alcohol use increases susceptibility to COVID‐19, and alcohol‐related mortality can further tax hospital resources.

Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study

BACKGROUND

Substance use by youth remains a significant public health concern. Social media provides the opportunity to discuss and display substance use-related beliefs and behaviors, suggesting that the act of posting drug-related content, or viewing posted content, may influence substance use in youth. This aligns with empirically supported theories, which posit that behavior is influenced by perceptions of normative behavior. Nevertheless, few studies have explored the content of posts by youth related to substance use.

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. Using a sequential explanatory mixed methods approach, we sampled drug-relevant tweets and qualitatively examined their content.

METHODS

We used natural language processing to determine the frequency of drug-related words in public tweets (from 2011 to 2015) among youth Twitter users geolocated to Pennsylvania. We limited our sample by age (13-24 years), yielding approximately 23 million tweets from 20,112 users. We developed a list of drug-related keywords and phrases and selected a random sample of tweets with the most commonly used keywords to identify themes (n=249).

RESULTS

We identified two broad classes of emergent themes: functional themes and relational themes. Functional themes included posts that explicated a function of drugs in one's life, with subthemes indicative of pride, longing, coping, and reminiscing as they relate to drug use and effects. Relational themes emphasized a relational nature of substance use, capturing substance use as a part of social relationships, with subthemes indicative of drug-related identity and companionship. We also identified topical areas in tweets related to drug use, including reference to polysubstance use, pop culture, and antidrug content. Across the tweets, the themes of pride (63/249, 25.3%) and longing (39/249, 15.7%) were the most popular. Most tweets that expressed pride (46/63, 73%) were explicitly related to marijuana. Nearly half of the tweets on coping (17/36, 47%) were related to prescription drugs. Very few of the tweets contained antidrug content (9/249, 3.6%).

CONCLUSIONS

Data integration indicates that drugs are typically discussed in a positive manner, with content largely reflective of functional and relational patterns of use. The dissemination of this information, coupled with the relative absence of antidrug content, may influence youth such that they perceive drug use as normative and justified. Strategies to address the underlying causes of drug use (eg, coping with stressors) and engage antidrug messaging on social media may reduce normative perceptions and associated behaviors among youth. The findings of this study warrant research to further examine the effects of this content on beliefs and behaviors and to identify ways to leverage social media to decrease substance use in this population.

Posting Post-Blackout: A Qualitative Examination of the Positive and Negative Valence of Tweets Posted after "Blackout" Drinking

Alcohol-induced memory loss (i.e., blackout) is a consequence of drinking that is both common and associated with additional negative outcomes. The goal of the present study was to use publicly available Twitter data to better understand cognitions and emotions following blackouts. Tweets containing key terms (e.g., "black out") were collected over 4 days in 2018. Using NVivo software, we coded all post-blackout Tweets for valence (positive, negative, neutral). Within each valence category, we reviewed Tweets to identify themes. Among Tweets coded with a positive valence, themes included pride in blacking out, pride in ability to function despite blackouts, blackouts as a shared social experience, and overall positive views of a drinking experience despite blackouts. Among Tweets coded with a negative valence, themes included the experience of other negative consequences on blackout nights, blackouts as unexpected/unplanned, blackouts as motivator of change, and blackout-related negative emotions. Additionally, Tweeters expressed pride in avoiding blackouts during drinking events. Findings provide insight into why not all individuals describe blackouts negatively, by analyzing specific statements made in a public forum following a blackout. Such insight may inform interventions targeting those who report this risky outcome of drinking, including those that could be delivered via social media.

Posting, texting, and related social risk behavior while high

Background: Posting on social media can have lasting consequences in one's social life and career. Research has not yet focused on social media or more modern forms of communication as social risk factors for individuals high on drugs. This study aims to examine prevalence and correlates of engaging in social media posting and related behavior while high. Methods: We examined data from 872 adults (39.8% female) who were surveyed entering electronic dance music (EDM) parties in New York City and reported lifetime illegal drug use. Participants were asked whether they were ever high on a drug while (1) posting on social media, (2) calling or texting someone, and (3) being in a photo. Those answering affirmatively were also asked whether they later regretted the behavior. We examined demographic and drug-related correlates of these behaviors. Results: Of the participants, 34.3% posted on social media while high (with 21.4% regretting it), 55.9% had texted or called someone while high (with 30.5% regretting it), and 47.6% had been in a photo while high (with 32.7% regretting it). Females and young adults (ages 18-24) were at high risk for posting on social media while high and at higher risk for engaging in more of these behaviors. Past-month marijuana users in particular were at increased risk for engaging in each of these behaviors. Conclusion: Engaging in these behaviors while high on drugs appears to be prevalent, and prevention and harm reduction efforts should seek to prevent or reduce likelihood of social harm that can result from such situations.