Evidence map›Paper›PMID 38366341›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2024

Using Exogenous Social Media Exposure Measures to Assess the Effects of Smokeless Tobacco-Related Social Media Content on Smokeless Tobacco Sales in the United States.

Ganna Kostygina, Yoonsang Kim, Zachary Gebhardt, Hy Tran, Andrew Norris, Simon Page, Mateusz Borowiecki, Shyanika W Rose, Sherry Emery

Abstract read
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Advances in Social Media Research to Reduce Tobacco Use.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2024
    Article
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

9 authors.

Ganna KostyginaSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.ORCID 0000-0002-8416-6168
Yoonsang KimSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.
Zachary GebhardtSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.
Hy TranSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.
Andrew NorrisSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.
Simon PageSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.
Mateusz BorowieckiSocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.ORCID 0000-0002-2079-0658
Shyanika W RoseDepartment of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, USA.ORCID 0000-0002-4200-1197
Sherry EmerySocial Data Collaboratory, NORC at the University of Chicago, Chicago, IL, USA.

Funding

Assessing the Effects of Smokeless Tobacco Influencer Marketing in the Rapidly Changing Media EnvironmentR01CA234082 · NCI · NATIONAL OPINION RESEARCH CENTER · PI KOSTYGINA, GANNA · 2019 to 2021
$1.5M
The Effects of Branded and Influencer Social Media Promotion of Flavored Tobacco Products (FTP) on FTP Use Among Youth and Young AdultsR01DA051000 · NIDA · NATIONAL OPINION RESEARCH CENTER · PI EMERY, SHERRY L, KOSTYGINA, GANNA · 2021 to 2023
$1.4M
NCI NIH HHS R01 CA234082NIDA NIH HHS R01 DA051000NIDA NIH HHS R01DA051000NIH HHS R01CA234082
6 · The paper itself

Abstract

introductionPrior research on the effects of social media promotion of tobacco products has predominantly relied on survey-based self-report measures of marketing exposure, which potentially introduce endogeneity, recall, and selection biases. New approaches can enhance measurement and help better understand the effects of exposure to tobacco-related messages in a dynamic social media marketing environment. We used geolocation-specific tweet rate as an exogenous indicator of exposure to smokeless tobacco (ST)-related content and employed this measure to examine the influence of social media marketing on ST sales. AIMS AND

methodsAutoregressive error models were used to analyze the association between the ST-relevant tweet rate (aggregated by 4-week period from February 12, 2017 to June 26, 2021 and scaled by population density) and logarithmic ST unit sales across time by product type (newer, snus, conventional) in the United States, accounting for autocorrelated errors. Interrupted time series approach was used to control for policy change effects.

resultsST product category-related tweet rates were associated with ST unit sales of newer and conventional products, controlling for price, relevant policy events, and the coronavirus disease 2019 (COVID-19) pandemic. On average, 100-unit increase in the number of newer ST-related tweets was associated with 14% increase in unit sales (RR = 1.14; p = .01); 100-unit increase in conventional ST tweets was associated with ~1% increase in unit sales (p = .04). Average price was negatively associated with the unit sales.

conclusionsStudy findings reveal that ST social media tweet rate was related to increased ST consumption and illustrate the utility of exogenous measures in conceptualizing and assessing effects in the complex media environment. IMPLICATIONS: Tobacco control initiatives should include efforts to monitor the role of social media in promoting tobacco use. Surveillance of social media platforms is critical to monitor emerging tobacco product-related marketing strategies and promotional content reach. Exogenous measures of potential exposure to social media messages can supplement survey data to study media effects on tobacco consumption.

Indexed as

Social MediaTobacco ProductsTobacco, SmokelessCommerceHumansMarketingMedia ExposureTobacco UseUnited States

Identifiers

PMID38366341
PMCPMC10873503

What OpenQuestion holds

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Registered trials

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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.