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.

Support for a browser plug-in blocking online alcohol imagery among Australian participants: A qualitative interview study.

ISSUES ADDRESSED: Alcohol depictions are extremely common online, and there is a reported relationship between alcohol exposure and alcohol use. A browser plug-in specifically designed to block online alcohol depictions may be helpful to prevent the uptake of alcohol or increased alcohol use. METHODS: Twenty-five semi-structured interviews were conducted, examining participants' beliefs about the effects of online alcohol exposure and their support for developing the browser plug-in. RESULTS: Using reflexive thematic analysis, we found participants highlighted a clear impact of viewing alcohol online and offline alcohol use. Participants believed a browser plug-in that blocked alcohol was acceptable and would be especially useful for minors (to prevent alcohol initiation) and those who are aiming to reduce their alcohol use. CONCLUSIONS: Participants emphasised that viewing online alcohol exposure had an impact on drinking behaviours, such as increased craving and temptation. The browser plug-in was considered an easy intervention tool for both parents and people who are experiencing alcohol-related problems or trying to reduce their drinking. SO WHAT?: Participants' continuous support of an alcohol-blocking browser plug-in suggests that future health promotion strategies should consider the development of a prototype plug-in.

Assessing driving-relevant attentional impairment after a multiday drinking session: A two-phase pilot study.

BACKGROUND: The possibility of residual impairment of cognitive performance after multiday drinking sessions is particularly important given the potential for the deleterious effects of fatigue and hangover. This pilot study aimed to devise a methodology to compare sober performance on driving-relevant attentional tasks at the end of a 4-day music festival with performance at varying levels of the breath-alcohol curve. METHODS: Fifty-two participants completed selective and sustained attention tasks at a breath alcohol concentration (BrAC) of 0.00%, 0.05%, and 0.08% following acute dosing in a controlled laboratory setting. A subset of participants (n = 13) were then tested at the conclusion of a 4-day music festival at 0.00% BrAC, with task performance compared with laboratory results. RESULTS: During the laboratory phase, sustained attention was poorer at the 0.05% ascending timepoint only (compared to 0.00% BrAC). During the festival phase, participants made a greater number of errors on the selective attention task predeparture than at 0.00% and 0.05% BrAC in the laboratory. Sustained attention performance was poorer while intoxicated in the laboratory. CONCLUSIONS: Our findings suggest that the absence of blood alcohol acutely may not be indicative of unimpaired cognitive performance and that other factors related to multiday drinking may produce driving-related attentional deficits. The findings reinforce the need to measure attentional performance in real-world drinking contexts despite the methodological complexities of doing so. A larger study is warranted to replicate the findings and should include attentional measures that either are more sensitive to the effects of acute alcohol intoxication than those in our study or are based on a driving simulator.

Indigenous people in Aotearoa New Zealand are overrepresented in cannabis convictions.

BACKGROUND: Previous work has demonstrated that cannabis laws have had a disproportionate impact on Maori, the Indigenous people of Aotearoa New Zealand. In 2019, the New Zealand Government amended cannabis laws, providing police with the power to determine whether a therapeutic or health-centred approach would be more beneficial than a conviction. In the current study, we use population level data to assess whether this law change has ameliorated the bias in cannabis convictions for Maori. METHODS: Data were drawn from the Integrated Data Infrastructure (IDI), a large government database hosted by Aotearoa New Zealand's national statistics office. In the IDI, we selected individuals who (1) were between 18 and 65, (2) were Maori or Pakeha (New Zealanders of European descent) and, (3) had any cannabis charges that proceeded to the courts. RESULTS: Maori ethnicity was a significant predictor of the odds of receiving a cannabis conviction for Maori males (Odds: 1.56), with a marginally significant effect for Maori females (Odds: 1.57). Further, for Maori, there was no reduction in the number of cannabis charges before vs. after the amendment to cannabis laws. CONCLUSION: The current study demonstrates that the bias in cannabis convictions for Maori remain. Given this, the New Zealand Government must follow other countries around the world and move forward on cannabis law reform.

Associations between alcohol demand and both the experience and subjective evaluation of positive and negative alcohol-related consequences.

BACKGROUND: Considerable variation exists in the extent to which alcohol-related consequences are evaluated as positive or negative. These evaluations, in turn, predict subsequent drinking behavior. Understanding the etiological pathways to positive and negative alcohol-related consequences is essential to the design of interventions aimed at reducing drinking consequences. Behavioral economic models posit that excessive alcohol valuation contributes to problematic use. Elevated alcohol demand (i.e., relative alcohol value) is associated with negative alcohol-related consequences; however, it is unclear whether demand is related to positive consequences or subjective consequence evaluations. METHODS: College student drinkers (n = 114; 74.6% female) completed an online survey. Participants indicated whether they had ever experienced any of 24 negative and 14 positive consequences and subjectively evaluated their most recent experience of each consequence endorsed. An alcohol purchase task assessed hypothetical alcohol consumption across 14 prices and three observed demand indices were calculated: intensity (i.e., consumption at zero cost), Omax (i.e., maximum expenditure), and Pmax (i.e., price associated with maximum expenditure). Bivariate correlations and hierarchical regressions were used to test associations between observed demand indices and the number and subjective evaluations of positive and negative (researcher- and participant-defined) consequences. RESULTS: Intensity and Omax , but not Pmax , were bivariately associated with researcher- and participant-defined negative and positive consequences. However, in hierarchical regression models that controlled for the maximum number of drinks consumed in a single day over the past month, only intensity was significantly associated with more negative and positive consequences. Intensity was associated with positive consequence evaluations in bivariate but not regression models. CONCLUSION: Students with higher intensity reported more prior alcohol consequences (positive and negative), independent of drinking level. However, subjective evaluations of recent consequences did not vary as a function of demand. Results support using behavioral economic models to facilitate identifying etiologic pathways to alcohol consequences and suggest that novel interventions incorporating demand manipulation may reduce drinking consequences.

New Australian guidelines for the treatment of alcohol problems: an overview of recommendations.

OF RECOMMENDATIONS AND LEVELS OF EVIDENCE: Chapter 2: Screening and assessment for unhealthy alcohol use Screening Screening for unhealthy alcohol use and appropriate interventions should be implemented in general practice (Level A), hospitals (Level B), emergency departments and community health and welfare settings (Level C). Quantity-frequency measures can detect consumption that exceeds levels in the current Australian guidelines (Level B). The Alcohol Use Disorders Identification Test (AUDIT) is the most effective screening tool and is recommended for use in primary care and hospital settings. For screening in the general community, the AUDIT-C is a suitable alternative (Level A). Indirect biological markers should be used as an adjunct to screening (Level A), and direct measures of alcohol in breath and/or blood can be useful markers of recent use (Level B). Assessment Assessment should include evaluation of alcohol use and its effects, physical examination, clinical investigations and collateral history taking (Level C). Assessment for alcohol-related physical problems, mental health problems and social support should be undertaken routinely (GPP). Where there are concerns regarding the safety of the patient or others, specialist consultation is recommended (Level C). Assessment should lead to a clear, mutually acceptable treatment plan which specifies interventions to meet the patient's needs (Level D). Sustained abstinence is the optimal outcome for most patients with alcohol dependence (Level C). Chapter 3: Caring for and managing patients with alcohol problems: interventions, treatments, relapse prevention, aftercare, and long term follow-up Brief interventions Brief motivational interviewing interventions are more effective than no treatment for people who consume alcohol at risky levels (Level A). Their effectiveness compared with standard care or alternative psychosocial interventions varies by treatment setting. They are most effective in primary care settings (Level A). Psychosocial interventions Cognitive behaviour therapy should be a first-line psychosocial intervention for alcohol dependence. Its clinical benefit is enhanced when it is combined with pharmacotherapy for alcohol dependence or an additional psychosocial intervention (eg, motivational interviewing) (Level A). Motivational interviewing is effective in the short term and in patients with less severe alcohol dependence (Level A). Residential rehabilitation may be of benefit to patients who have moderate-to-severe alcohol dependence and require a structured residential treatment setting (Level D). Alcohol withdrawal management Most cases of withdrawal can be managed in an ambulatory setting with appropriate support (Level B). Tapering diazepam regimens (Level A) with daily staged supply from a pharmacy or clinic are recommended (GPP). Pharmacotherapies for alcohol dependence Acamprosate is recommended to help maintain abstinence from alcohol (Level A). Naltrexone is recommended for prevention of relapse to heavy drinking (Level A). Disulfiram is only recommended in close supervision settings where patients are motivated for abstinence (Level A). Some evidence for off-label therapies baclofen and topiramate exists, but their side effect profiles are complex and neither should be a first-line medication (Level B). Peer support programs Peer-led support programs such as Alcoholics Anonymous and SMART Recovery are effective at maintaining abstinence or reductions in drinking (Level A). Relapse prevention, aftercare and long-term follow-up Return to problematic drinking is common and aftercare should focus on addressing factors that contribute to relapse (GPP). A harm-minimisation approach should be considered for patients who are unable to reduce their drinking (GPP). Chapter 4: Providing appropriate treatment and care to people with alcohol problems: a summary for key specific populations Gender-specific issues Screen women and men for domestic abuse (Level C). Consider child protection assessments for caregivers with alcohol use disorder (GPP). Explore contraceptive options with women of reproductive age who regularly consume alcohol (Level B). Pregnant and breastfeeding women Advise pregnant and breastfeeding women that there is no safe level of alcohol consumption (Level B). Pregnant women who are alcohol dependent should be admitted to hospital for treatment in an appropriate maternity unit that has an addiction specialist (GPP). Young people Perform a comprehensive HEEADSSS assessment for young people with alcohol problems (Level B). Treatment should focus on tangible benefits of reducing drinking through psychotherapy and engagement of family and peer networks (Level B). Aboriginal and Torres Strait Islander peoples Collaborate with Aboriginal or Torres Strait Islander health workers, organisations and communities, and seek guidance on patient engagement approaches (GPP). Use validated screening tools and consider integrated mainstream and Aboriginal or Torres Strait Islander-specific approaches to care (Level B). Culturally and linguistically diverse groups Use an appropriate method, such as the "teach-back" technique, to assess the need for language and health literacy support (Level C). Engage with culture-specific agencies as this can improve treatment access and success (Level C). Sexually diverse and gender diverse populations Be mindful that sexually diverse and gender diverse populations experience lower levels of satisfaction, connection and treatment completion (Level C). Seek to incorporate LGBTQ-specific treatment and agencies (Level C). Older people All new patients aged over 50 years should be screened for harmful alcohol use (Level D). Consider alcohol as a possible cause for older patients presenting with unexplained physical or psychological symptoms (Level D). Consider shorter acting benzodiazepines for withdrawal management (Level D). Cognitive impairment Cognitive impairment may impair engagement with treatment (Level A). Perform cognitive screening for patients who have alcohol problems and refer them for neuropsychological assessment if significant impairment is suspected (Level A). SUMMARY OF KEY RECOMMENDATIONS AND LEVELS OF EVIDENCE: Chapter 5: Understanding and managing comorbidities for people with alcohol problems: polydrug use and dependence, co-occurring mental disorders, and physical comorbidities Polydrug use and dependence Active alcohol use disorder, including dependence, significantly increases the risk of overdose associated with the administration of opioid drugs. Specialist advice is recommended before treatment of people dependent on both alcohol and opioid drugs (GPP). Older patients requiring management of alcohol withdrawal should have their use of pharmaceutical medications reviewed, given the prevalence of polypharmacy in this age group (GPP). Smoking cessation can be undertaken in patients with alcohol dependence and/or polydrug use problems; some evidence suggests varenicline may help support reduction of both tobacco and alcohol consumption (Level C). Co-occurring mental disorders More intensive interventions are needed for people with comorbid conditions, as this population tends to have more severe problems and carries a worse prognosis than those with single pathology (GPP). The Kessler Psychological Distress Scale (K10 or K6) is recommended for screening for comorbid mental disorders in people presenting for alcohol use disorders (Level A). People with alcohol use disorder and comorbid mental disorders should be offered treatment for both disorders; care should be taken to coordinate intervention (Level C). Physical comorbidities Patients should be advised that alcohol use has no beneficial health effects. There is no clear risk-free threshold for alcohol intake. The safe dose for alcohol intake is dependent on many factors such as underlying liver disease, comorbidities, age and sex (Level A). In patients with alcohol use disorder, early recognition of the risk for liver cirrhosis is critical. Patients with cirrhosis should abstain from alcohol and should be offered referral to a hepatologist for liver disease management and to an addiction physician for management of alcohol use disorder (Level A). Alcohol abstinence reduces the risk of cancer and improves outcomes after a diagnosis of cancer (Level A).

"I Still Don't Know What Happened, Complete Blackout": a Content Analysis of Tweets Referencing Alcohol-Induced Amnesia.

OBJECTIVE: We qualitatively examined the content of alcohol-related blackouts posts ("Tweets") on Twitter, focusing on reflections post-drinking that involved clear references to memory loss. METHODS: We examined publically available Tweets that referenced blackouts after an alcohol consumption event (n = 3,574). RESULTS: Twitter represents a relatively unfiltered glimpse at reflections on alcohol-induced amnesia. As hypothesized, most tweets referencing blackouts did not clearly describe amnesia. In the Tweets that clearly reference amnesia, we identified several themes. Tweeters referenced an 'AlterEgo' who was responsible for all the intoxicated behaviors that were inconsistent with the Tweeter's personality. Additionally, the Tweets discussed ways in which the drinker recovered memories (e.g. from friends, from social media), other events that occurred during the amnesia (e.g. loss of items, help from friends, sexual experiences), and regret about having lost memories. Some Tweeters requested assistance from their followers to reconstruct their drinking event. Tweets have the potential to set norms about acceptable behaviors or scripts following a blackout. CONCLUSIONS: Since most blackout Tweets are ambiguous with regards to alcohol-induced amnesia, these Tweets might be leading people to believe that blackouts are passing out or just periods of heavy intoxication. In addition, themes from these Tweets can inform future interventions by using the cognitions surrounding this high-risk behavior.

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.

"Can't Wait to Blackout Tonight": An Analysis of the Motives to Drink to Blackout Expressed on Twitter.

BACKGROUND: Alcohol-related blackouts are associated with a range of negative consequences and are common among social drinkers. Discussing alcohol use on social networking platforms (e.g., Twitter) is common and related to higher alcohol consumption levels. Due to the widespread nature of alcohol-related social networking posts and alcohol-related blackouts, we examined the content of alcohol-related blackouts posts/"Tweets" on Twitter, with a focus on intentions to blackout and specific motivations for blacking out. METHODS: A set of Tweets containing "blackout," "blackout," "blacking out," "blacked out," or "blacks out" were collected from April 26, 2018, and April 29, 2018. Using NVivo software, we coded all preblackout Tweets (i.e., before the blackout experience) for intentions and motives to blackout. RESULTS: Most Tweets that we collected expressed an intention to blackout and these intentions ranged in strength (i.e., will blackout vs. might blackout). With respect to specific motives for blacking out, celebration motives were identified. For example, Tweets addressed blacking out to celebrate one's birthday, someone else's birthday, a school or work accomplishment, a sports win, during a vacation, or a holiday. Another endorsed motive for blacking out was loss or coping motives. For example, the Tweets commented on blacking out to deal with stress or a bad day. CONCLUSION: Our findings suggest that Twitter users express intentions to blackout due to celebration or coping reasons. Given the consequences associated with blackout drinking, future research should consider the link between blackout intentions, blackout motives, and alcohol-related harm.

Just a First-Year Thing? The Relations between Drinking During Orientation Week and Subsequent Academic Year Drinking Across Class Years.

BACKGROUND: The goal of Orientation Week is to help new students adjust to university life. However, it is a period when many new students engage in excessive alcohol consumption and where problematic drinking patterns may be established. OBJECTIVE: The objective is to determine whether returning students drink in a similar manner to students in their first-year of classes and whether Orientation Week drinking predicts semester drinking more strongly for first-year than returning students. METHODS: We tested 552 students (18 to 25 years old) in their first, second, or third class year of university. Students reported their Orientation Week drinking and then completed daily drinking diaries for 13 consecutive days during the academic year. RESULTS: Orientation Week drinking was similar across class years and also predicted academic year drinking for students in all class years. Conclusion/Importance: Drinking during Orientation Week is not just a first-year problem and prevention efforts should focus on all students.

Increasing resilience in adolescents: the importance of social connectedness in adventure education programmes.

OBJECTIVE: Mental health problems are a leading cause of health-related disability during adolescence. The objectives of the current study were to investigate whether participating in an adventure education programme (AEP) increased adolescents' resilience and elucidate how social connectedness contributes to any increase. METHOD: Adolescents who participated in the AEP had their resilience measured on the first (Time 1) and last day (Time 2) of a 10-day voyage. Perceived social support and sense of belonging were also measured at Time 2. A control group of adolescents, who did not take part in the voyage, also had their resilience assessed at two time points, 10 days apart. RESULT: Adolescents who participated in the AEP, but not those in the control group, displayed an increase in resilience from Time 1 to Time 2. Further, the increase in resilience was related to the adolescents' sense of belonging, and this effect held when controlling for perceived social support. CONCLUSION: These findings demonstrate the positive impact AEPs have on adolescents' resilience and a mechanism through which this occurs.

Support for policies restricting alcohol exposure in films: Does feeding back the amount of alcohol in films increase support?

INTRODUCTION: Alcohol exposure is common in popular films, and research has demonstrated a link between alcohol exposure and use. The likelihood of implementing specific policies to reduce the amount of film exposure is dependent on the level of public support; however, evidence is currently lacking. This study investigated how supportive people are of film-related alcohol policies and whether providing information about the amount of film exposure increased support. METHODS: Australian adults (N = 252) first provided estimates of how much alcohol they thought were in popular films and then were randomised to either see an infographic about the amount of alcohol in films or not. All participants rated how supportive they were of eight policies. RESULTS: The items 'alcoholic beverages and consumption should not be shown in G or PG rated films' (M = 3.54) and 'alcohol should not be glorified in films' (M = 3.49) were rated significantly higher than the scale's midpoint of 3 (p < 0.001). Participants who were older, female or reported lower alcohol use were more supportive of the policies. Only one policy item, 'information about alcohol sponsorship should be provided' received higher support from those who received the infographic compared to those who did not (M = 3.53 vs. M = 3.05; t(250) = -3.09, p = 0.002). DISCUSSION AND CONCLUSION: Participants were relatively supportive of film alcohol policies. However, providing information about the amount of alcohol in films did not make a difference on the level of support for most film alcohol policies.

Long-term effects of alcohol consumption on anxiety in adults: A systematic review.

OBJECTIVE: Despite the high prevalence and comorbidity of alcohol consumption and anxiety, it is unclear whether alcohol consumption influences long-term anxiety. This study aimed to systematically review the literature on the long-term longitudinal effects of alcohol consumption on anxiety in adults. METHODS: EMBASE, PsychInfo, Medline, and Web of Science databases were systematically searched from inception to April 12th, 2024. Articles analysing the relationship between alcohol consumption and anxiety symptoms or anxiety disorder diagnosis at least three-months later in adults were eligible. Articles were screened and extracted by two independent reviewers with study quality assessed using the Mixed Methods Appraisal Tool. RESULTS: From 884 records, eight studies of mixed quality met inclusion criteria. One study using a sample representative of the USA population found low volume consumption was associated with lower long-term anxiety. All other studies used a convenience sample or a specific medical population sample. The significance and direction of the relationship between alcohol consumption and long-term anxiety in these studies varied, likely due to differences in alcohol consumption thresholds used and populations studied. CONCLUSIONS: A paucity of research on the longitudinal effects of alcohol consumption on anxiety was found, highlighting a significant gap in the research literature. Furthermore, existing research, primarily focussed on clinical subpopulations, has yielded mixed results. Further research is needed to explore the longitudinal dose dependent impact of alcohol consumption on anxiety using samples representative of national populations.

The prevalence of alcohol references in music and their effect on people's drinking behavior: A systematic review and meta-analysis.

Understanding the prevalence of alcohol references in music and their impact on alcohol drinking behavior is important given the increased accessibility to daily music listening with the proliferation of smart devices. In this review, we estimate the pooled prevalence of alcohol references in music and its association with drinking behavior. Systematic searches were conducted across four major databases (MEDLINE, PsycINFO, EMBASE, and CINHAL). Articles were selected following duplicate checking, title and abstract screening, and full-text review. Studies reporting the prevalence of alcohol-referencing music and/or investigating its association with drinking behavior were included. Pooled prevalence with 95% confidence intervals (CIs) were computed using a random effects model. Of 1007 articles identified, 26 met inclusion criteria and 23 studies comprising 12,224 songs were eligible for meta-analysis. The overall pooled prevalence of alcohol references in music (including lyrics and videos) was 24.0% (95% CI: 19.0%-29.0%). The pooled prevalence was 22.0% (95% CI: 16.0%-29.0%) for only lyrics, 25.0% (95% CI: 18.0%-33.0%) for only the visual elements of music videos, and 29.0% (95% CI: 21.0%-38.0%) for both the lyrical content and the visual components. Only three studies assessed the relationship between listening to music with alcohol references and drinking behavior, and all three reported a positive association. Whereas almost a quarter of all songs included references to alcohol, public health preventive measures are needed to reduce alcohol exposure from music. Future research is needed to understand fully the effect of music with alcohol references on drinking behavior.

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

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

Associations between posting about alcohol on social networking sites and alcohol-induced blackouts in a sample of young adults not in 4-year college.

OBJECTIVE: Research among young adults (YA), in samples of majority White college students, indicates links between posting about alcohol on social media and self-reported drinking behavior. We sought to extend this work by examining unique associations between public versus private posting about alcohol and the high-risk outcome of alcohol-related blackouts among a sample of racially/ethnically diverse YA not in 4-year college. METHOD: A sample of 499 participants (ages 18-29; 52.5% female; 37.5% Black/African American, 26.9% White, 25.3% Hispanic/Latinx) completed an online survey about social media use and drinking behavior. RESULTS: Across three platforms (Instagram, TikTok, Twitter [now known as "X"]), public posting on Instagram was most common. Adjusting for covariates, a higher frequency of private posting about alcohol was associated with a higher frequency of past-month blackouts. Tests of simple effects of posting on blackouts within racial/ethnic subgroups indicated that private posting about alcohol was significantly associated with past-month blackouts only among those who most strongly identified as Black/African American or White but not among those who most strongly identified as Hispanic/Latinx. Further, public posting was significantly associated with past-month blackouts, though the association was specific to White participants. CONCLUSIONS: Whether posting about alcohol may be useful in identifying risky drinking behavior may depend on racial/ethnic identification as well as whether private or public posting is being considered. Results have implications for eventual online interventions, which can identify individuals potentially at risk for hazardous drinking based on their social media posting behavior. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Experimentally induced changes in authoritarian submission as a response to threat.

Authoritarianism is best conceptualised by three attitudinal clusters: Aggression, Submission, and Conventionalism. Once considered a fixed characteristic, recent observational research has demonstrated how the dimension of submission can fluctuate in response to COVID-19 threat as a means of maintaining collective security. However, this effect has not been investigated with other forms of threat, nor has it been supported experimentally. In the present study, we sought to test observational findings by priming 300 participants with either a COVID-19 threat, a domestic terrorism threat, or a non-threatening control. Levels of authoritarianism were tested before and after presentation of a prime and then the difference between the two measures could be compared between prime conditions. Results from a Bayesian multivariate regression analysis informed by observational findings suggested that participants who experienced the COVID-19 or terrorism primes reported higher levels of authoritarian submission after the prime compared to before the prime, relative to those who experienced the neutral control prime. In contrast, the aggression subfactor did not seem to elicit any change in response to threat, and the conventionalism subfactor showed a response only to the terrorism prime. We concluded that two different forms of societal threat could elicit changes in specific dimensions of authoritarianism over a very short time span. We caution against the common practice of treating authoritarianism as a unidimensional construct without careful consideration.