Dana M Litt1, Melissa A Lewis2, Emma S Spiro3, Lovenoor Aulck3, Katja A Waldron4, Maya K Head-Corliss5, Alex Swanson6. 1. Department of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, United States. Electronic address: dana.litt@unthsc.edu. 2. Department of Health Behavior and Health Systems, University of North Texas Health Science Center, Fort Worth, TX, United States. 3. Information School, University of Washington, Seattle, WA, United States. 4. Department of Biobehavioral Health, Pennsylvania State University, State College, PA, United States. 5. Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, United States. 6. Department of Educational, School, and Counseling Psychology, University of Missouri, Columbia, MO, United States.
Abstract
PURPOSE: Despite the importance of social networking sites on young adult alcohol use, few studies have examined Twitter as a conduit for sharing drinking behavior. However, this work generally uses random samples of tweets and thus cannot determine the extent to which Tweets correspond with self-reported drinking cognitions or behaviors. The primary aims of the present study were to (1) document basic patterns of alcohol-related Twitter activity in a subsample of young adult drinkers, and (2) examine whether willingness to drink, alcohol use, and negative consequences are associated with alcohol-related tweeting behavior. METHODS: 186 young adults age 18-20 completed an online survey and provided Twitter handle information. From these participants, a random sample of 5000 Tweets was coded by a trained team to determine whether tweets were related to alcohol use or not. Ordinary least squares regression analyses were conducted to determine whether the proportion of alcohol-related Tweets is associated with self-reported alcohol use willingness, behaviors, and negative consequences. RESULTS: Results indicated that not only are alcohol-related tweets common among young adults, but that the proportion of one's overall tweets that are related to alcohol is significantly associated with willingness to drink, alcohol use, and negative consequences. CONCLUSIONS: The results of this study are an important step to understanding how digital behavior (e.g., posting about alcohol on Twitter) is related to an individual's self-reported drinking cognitions, alcohol use, and negative consequences and has implications for the way Twitter data can be used for public health surveillance and interventions.
PURPOSE: Despite the importance of social networking sites on young adult alcohol use, few studies have examined Twitter as a conduit for sharing drinking behavior. However, this work generally uses random samples of tweets and thus cannot determine the extent to which Tweets correspond with self-reported drinking cognitions or behaviors. The primary aims of the present study were to (1) document basic patterns of alcohol-related Twitter activity in a subsample of young adult drinkers, and (2) examine whether willingness to drink, alcohol use, and negative consequences are associated with alcohol-related tweeting behavior. METHODS: 186 young adults age 18-20 completed an online survey and provided Twitter handle information. From these participants, a random sample of 5000 Tweets was coded by a trained team to determine whether tweets were related to alcohol use or not. Ordinary least squares regression analyses were conducted to determine whether the proportion of alcohol-related Tweets is associated with self-reported alcohol use willingness, behaviors, and negative consequences. RESULTS: Results indicated that not only are alcohol-related tweets common among young adults, but that the proportion of one's overall tweets that are related to alcohol is significantly associated with willingness to drink, alcohol use, and negative consequences. CONCLUSIONS: The results of this study are an important step to understanding how digital behavior (e.g., posting about alcohol on Twitter) is related to an individual's self-reported drinking cognitions, alcohol use, and negative consequences and has implications for the way Twitter data can be used for public health surveillance and interventions.
Authors: Robin C Stevens; Bridgette M Brawner; Elissa Kranzler; Salvatore Giorgi; Elizabeth Lazarus; Maramawit Abera; Sarah Huang; Lyle Ungar Journal: JMIR Public Health Surveill Date: 2020-03-26