Evidence map›Paper›PMID 32437397›Full record

ArticlePloS one2020

#toolittletoolate: JUUL-related content on Instagram before and after self-regulatory action.

Lauren Czaplicki, Shreya Tulsiani, Ganna Kostygina, Miao Feng, Yoonsang Kim, Siobhan N Perks, Sherry Emery, Barbara Schillo

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
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  3. Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
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  10. E-Cigarette Retailers' Use of Instagram in New Zealand: A Content Analysis.International journal of environmental research and public health · 2023
    Article
  11. Article
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  14. E-Cigarette Advertising in the UK: A Content Analysis of Traditional and Social Media Advertising to Observe Compliance with Current Regulations.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    Article
  15. Article
  16. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Lauren CzaplickiSchroeder Institute at Truth Initiative, Washington, DC, United States of America.
Shreya TulsianiSchroeder Institute at Truth Initiative, Washington, DC, United States of America.ORCID 0000-0001-6986-7858
Ganna KostyginaSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, United States of America.
Miao FengSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, United States of America.
Yoonsang KimSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, United States of America.
Siobhan N PerksSchroeder Institute at Truth Initiative, Washington, DC, United States of America.ORCID 0000-0002-4982-6327
Sherry EmerySocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, United States of America.
Barbara SchilloSchroeder Institute at Truth Initiative, Washington, DC, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDigital e-cigarette marketing is largely unregulated and remains easily accessible to young people. The growing public concern around youth JUUL use and its viral presence on social media led the company to engage in several voluntary actions to remove and reduce JUUL-related content on Instagram in May 2018. The current study examined how JUUL-related Instagram content changed in the US following JUUL Labs' wave of voluntary actions in May 2018.

methodsIn 2019, we collected a total of 50,817 JUUL-relevant posts by 16,323 unique users on Instagram from March 1-May 15, 2018 (Phase 1) and May 16-November 11, 2018 (Phase II) using the application programming interface. We conducted a semantic network analysis to identify major topic clusters over time.

resultsApproximately 14,838 JUUL-related posts were made by 5,201 accounts in Phase I and 35,979 posts were made by 11,122 accounts in Phase II. Major content clusters remained unchanged over time-key topics were JUUL-related product characteristics and JUUL-communities; the general vape community; and cannabis-related behavior. Of note, cannabis-related content grew in Phase II, particularly use of the term CBD.

conclusionsOur results reflect the limits of voluntary industry actions to reduce or change vaping-related content on social media. Rather, strong federal restriction on commercial tobacco marketing is the optimal pathway to reduce initial product marketing exposure among youth. These limits would make the emergence and viral contagion of brand-related social media content less likely and reduce its influence on youth behavior.

Indexed as

Electronic Nicotine Delivery SystemsMarketingSocial MediaVapingHumans

Identifiers

PMID32437397
PMCPMC7241740

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.