Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study
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...
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| Published in: | JMIR public health and surveillance Vol. 6; no. 1; p. e16191 |
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| Main Authors: | , , , , , , , |
| Format: | Journal Article |
| Language: | English |
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JMIR Publications
26.03.2020
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| ISSN: | 2369-2960, 2369-2960 |
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| Abstract | 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.
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.
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).
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%).
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. |
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| AbstractList | 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.BACKGROUNDSubstance 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.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.OBJECTIVEThis 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.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).METHODSWe 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).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%).RESULTSWe 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%).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.CONCLUSIONSData 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. BackgroundSubstance 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. ObjectiveThis 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. MethodsWe 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). ResultsWe 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%). ConclusionsData 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. 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. 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. 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). 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%). 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. 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. |
| Author | Ungar, Lyle Brawner, Bridgette M Huang, Sarah Giorgi, Salvatore Abera, Maramawit Stevens, Robin C Kranzler, Elissa Lazarus, Elizabeth |
| AuthorAffiliation | 3 Wharton Risk Management and Decision Processes Center Philadelphia, PA United States 5 Crescenz Veterans Affairs Medical Center Philadelphia, PA United States 1 Department of Family and Community Health University of Pennsylvania School of Nursing Philadelphia, PA United States 2 University of Pennsylvania School of Nursing Philadelphia, PA United States 4 Department of Computer and Information Science Philadelphia, PA United States |
| AuthorAffiliation_xml | – name: 5 Crescenz Veterans Affairs Medical Center Philadelphia, PA United States – name: 4 Department of Computer and Information Science Philadelphia, PA United States – name: 3 Wharton Risk Management and Decision Processes Center Philadelphia, PA United States – name: 2 University of Pennsylvania School of Nursing Philadelphia, PA United States – name: 1 Department of Family and Community Health University of Pennsylvania School of Nursing Philadelphia, PA United States |
| Author_xml | – sequence: 1 givenname: Robin C orcidid: 0000-0002-0481-9983 surname: Stevens fullname: Stevens, Robin C – sequence: 2 givenname: Bridgette M orcidid: 0000-0003-2707-3210 surname: Brawner fullname: Brawner, Bridgette M – sequence: 3 givenname: Elissa orcidid: 0000-0003-4492-5817 surname: Kranzler fullname: Kranzler, Elissa – sequence: 4 givenname: Salvatore orcidid: 0000-0001-7381-6295 surname: Giorgi fullname: Giorgi, Salvatore – sequence: 5 givenname: Elizabeth orcidid: 0000-0002-4783-4630 surname: Lazarus fullname: Lazarus, Elizabeth – sequence: 6 givenname: Maramawit orcidid: 0000-0002-5965-0003 surname: Abera fullname: Abera, Maramawit – sequence: 7 givenname: Sarah orcidid: 0000-0003-3657-9934 surname: Huang fullname: Huang, Sarah – sequence: 8 givenname: Lyle orcidid: 0000-0003-2047-1443 surname: Ungar fullname: Ungar, Lyle |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32213472$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | Robin C Stevens, Bridgette M Brawner, Elissa Kranzler, Salvatore Giorgi, Elizabeth Lazarus, Maramawit Abera, Sarah Huang, Lyle Ungar. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 26.03.2020. 2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Robin C Stevens, Bridgette M Brawner, Elissa Kranzler, Salvatore Giorgi, Elizabeth Lazarus, Maramawit Abera, Sarah Huang, Lyle Ungar. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 26.03.2020. 2020 |
| Copyright_xml | – notice: Robin C Stevens, Bridgette M Brawner, Elissa Kranzler, Salvatore Giorgi, Elizabeth Lazarus, Maramawit Abera, Sarah Huang, Lyle Ungar. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 26.03.2020. – notice: 2020. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Robin C Stevens, Bridgette M Brawner, Elissa Kranzler, Salvatore Giorgi, Elizabeth Lazarus, Maramawit Abera, Sarah Huang, Lyle Ungar. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 26.03.2020. 2020 |
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| License | Robin C Stevens, Bridgette M Brawner, Elissa Kranzler, Salvatore Giorgi, Elizabeth Lazarus, Maramawit Abera, Sarah Huang, Lyle Ungar. Originally published in JMIR Public Health and Surveillance (http://publichealth.jmir.org), 26.03.2020. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on http://publichealth.jmir.org, as well as this copyright and license information must be included. |
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| SubjectTerms | Addictive behaviors Adolescent Age Alcohol Application programming interface Behavior Child development Content analysis Data analysis Datasets Drug use Health surveillance Humans Keywords Marijuana Mixed methods research Natural Language Processing Original Paper Pennsylvania - epidemiology Perceptions Public health Qualitative Research Social Media - statistics & numerical data Social networks Social norms Substance use Substance-Related Disorders - epidemiology Teenagers Young Adult Young adults |
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| Title | Exploring Substance Use Tweets of Youth in the United States: Mixed Methods Study |
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