Instagram's #JUUL: who's posting what.
Clicks: 368
ID: 86316
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
368 views
34 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #12 of 52 articles by views in translational behavioral medicine
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Exposure to e-cigarette (e-cig) marketing through traditional and online media can increase the risk of e-cig use among adolescents. Though popular e-cig brand JUUL has scaled back its social media promotions, outside vendors and individual users create posts about JUUL unregulated. Instagram's image-focus offers an opportunity to document promotions that may appeal to adolescents. To assess the visual representation of JUUL on social media, we systematically classified discussion topics and themes of posts to Instagram. Of 25,428 unique Instagram images using the hashtag #JUUL retrieved between June 18 and July 18, 2018, a random subsample of 3,000 images (approximately 12% of the full data set) was drawn for human coding and analyses. Coded categories included relevance to JUUL, type of image, image appeal, and user type. Based on the number of relevant images, percentages of image type and appeal for each user type were calculated. There were 583 images that were coded as relevant. The majority of image types (64%) were classified as product (n =; 374). The most frequently coded type of appeal was flavors, found in 54% of images with appeal (n =; 149), followed by cartoons, found in 21% (n =; 57). Vendors were responsible for posting most of the images (n =; 291), followed by e-cig enthusiasts (n =; 99). Continued surveillance of e-cig products, such as JUUL, remains necessary to provide a foundation for potential regulatory protections against marketing and promotions that may appeal to youth.
| Reference Key |
chu2019instagramstranslational
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Chu, Kar-Hai;Matheny, Sara J;Sidani, Jaime E;Allem, Jon-Patrick;Unger, Jennifer B;Cruz, Tess Boley; |
| Journal | translational behavioral medicine |
| Year | 2019 |
| DOI |
ibz169
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.