An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit

Introduction: This study analyzes age-differentiated Reddit conversations about ENDS. Methods: This study combines 2 methods to (1) predict Reddit users’ age into 2 categories (13–20 years [underage] and 21–54 years [of legal age]) using a machine learning algorithm and (2) qualitatively code ENDS-r...

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Main Authors: Mario A. Navarro, PhD, Andrea Malterud, PhD, Zachary P. Cahn, PhD, Laura Baum, MA, MPH, Thomas Bukowski, MPA, MA, Caroline Kery, MS, Robert F. Chew, MS, Annice E. Kim, PhD
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:AJPM Focus
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2773065422000438
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author Mario A. Navarro, PhD
Andrea Malterud, PhD
Zachary P. Cahn, PhD
Laura Baum, MA, MPH
Thomas Bukowski, MPA, MA
Caroline Kery, MS
Robert F. Chew, MS
Annice E. Kim, PhD
author_facet Mario A. Navarro, PhD
Andrea Malterud, PhD
Zachary P. Cahn, PhD
Laura Baum, MA, MPH
Thomas Bukowski, MPA, MA
Caroline Kery, MS
Robert F. Chew, MS
Annice E. Kim, PhD
author_sort Mario A. Navarro, PhD
collection DOAJ
description Introduction: This study analyzes age-differentiated Reddit conversations about ENDS. Methods: This study combines 2 methods to (1) predict Reddit users’ age into 2 categories (13–20 years [underage] and 21–54 years [of legal age]) using a machine learning algorithm and (2) qualitatively code ENDS-related Reddit posts within the 2 groups. The 25 posts with the highest karma score (number of upvotes minus number of downvotes) for each keyword search (i.e., query) and each predicted age group were qualitatively coded. Results: Of 9, the top 3 topics that emerged were flavor restriction policies, Tobacco 21 policies, and use. Opposition to flavor restriction policies was a prominent subcategory for both groups but was more common in the 21–54 group. The 13–20 group was more likely to discuss opposition to minimum age laws as well as access to flavored ENDS products. The 21–54 group commonly mentioned general vaping use behavior. Conclusions: Users predicted to be in the underage group posted about different ENDS-related topics on Reddit than users predicted to be in the of-legal-age group.
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spelling doaj.art-c8706c31bea14c83aad2d17bfaea7ba12023-03-02T05:03:30ZengElsevierAJPM Focus2773-06542023-03-0121100045An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on RedditMario A. Navarro, PhD0Andrea Malterud, PhD1Zachary P. Cahn, PhD2Laura Baum, MA, MPH3Thomas Bukowski, MPA, MA4Caroline Kery, MS5Robert F. Chew, MS6Annice E. Kim, PhD7Office of Health Communication and Education, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, Maryland; Address correspondence to: Mario A. Navarro, PhD, Office of Health Communication and Education, Center for Tobacco Products, Food and Drug Administration (FDA), 10903 New Hampshire Avenue, Silver Spring MD 20993.Office of Health Communication and Education, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, MarylandOffice of Health Communication and Education, Center for Tobacco Products, Food and Drug Administration (FDA), Silver Spring, MarylandCenter for Health Analytics, Media, and Policy, RTI International, Research Triangle Park, North CarolinaCenter for Health Analytics, Media, and Policy, RTI International, Research Triangle Park, North CarolinaCenter for Data Science, RTI International, Research Triangle Park, North CarolinaCenter for Data Science, RTI International, Research Triangle Park, North CarolinaCenter for Health Analytics, Media, and Policy, RTI International, Research Triangle Park, North CarolinaIntroduction: This study analyzes age-differentiated Reddit conversations about ENDS. Methods: This study combines 2 methods to (1) predict Reddit users’ age into 2 categories (13–20 years [underage] and 21–54 years [of legal age]) using a machine learning algorithm and (2) qualitatively code ENDS-related Reddit posts within the 2 groups. The 25 posts with the highest karma score (number of upvotes minus number of downvotes) for each keyword search (i.e., query) and each predicted age group were qualitatively coded. Results: Of 9, the top 3 topics that emerged were flavor restriction policies, Tobacco 21 policies, and use. Opposition to flavor restriction policies was a prominent subcategory for both groups but was more common in the 21–54 group. The 13–20 group was more likely to discuss opposition to minimum age laws as well as access to flavored ENDS products. The 21–54 group commonly mentioned general vaping use behavior. Conclusions: Users predicted to be in the underage group posted about different ENDS-related topics on Reddit than users predicted to be in the of-legal-age group.http://www.sciencedirect.com/science/article/pii/S2773065422000438Social mediamachine learningE-cigarettesReddityoung adults
spellingShingle Mario A. Navarro, PhD
Andrea Malterud, PhD
Zachary P. Cahn, PhD
Laura Baum, MA, MPH
Thomas Bukowski, MPA, MA
Caroline Kery, MS
Robert F. Chew, MS
Annice E. Kim, PhD
An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit
AJPM Focus
Social media
machine learning
E-cigarettes
Reddit
young adults
title An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit
title_full An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit
title_fullStr An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit
title_full_unstemmed An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit
title_short An Investigation of Age-Differentiated Conversations About Electronic Nicotine Delivery Systems on Reddit
title_sort investigation of age differentiated conversations about electronic nicotine delivery systems on reddit
topic Social media
machine learning
E-cigarettes
Reddit
young adults
url http://www.sciencedirect.com/science/article/pii/S2773065422000438
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