Evidence map›Paper›PMID 39689499›Full record

ArticleDrug and alcohol dependence2025

Protecting historically marginalized groups or targeted marketing? A computational analysis of individuals engaging with public and protected cigar-branded tweets.

Jiaxi Wu, Lynsie R Ranker, Juan Manuel Origgi, Jianqi Ma, Deyan Hao, Emelia J Benjamin, Jennifer Cornacchione Ross, Ziming Xuan, Derry Wijaya, Jessica L Fetterman and 1 more

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Exploring Social Media Discourse on Cigars: Insights from Twitter/X Data.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    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

11 authors.

Jiaxi WuAnnenberg School for Communication, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: jiaxi.wu@asc.upenn.edu.
Lynsie R RankerDepartment of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA.
Juan Manuel OriggiDepartment of Computer Science, Boston University, Boston, MA, USA.
Jianqi MaDepartment of Computer Science, Boston University, Boston, MA, USA.
Deyan HaoDepartment of Computer Science, Boston University, Boston, MA, USA.
Emelia J BenjaminSection of Cardiovascular Medicine, Department of Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.
Jennifer Cornacchione RossDepartment of Health Law, Policy & Management, Boston University School of Public Health, Boston, MA, USA.
Ziming XuanDepartment of Community Health Sciences, Boston University School of Public Health, Boston, MA, USA.
Derry WijayaDepartment of Data Science, Monash University, Bumi Serpong Damai, Banten, Indonesia.
Jessica L FettermanEvans Department of Medicine and Whitaker Cardiovascular Institute, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Traci HongCollege of Communication, Boston University, Boston, MA, USA.

Funding

IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
ConProject-006U54HL120163 · NHLBI · AMERICAN HEART ASSOCIATION · PI BHATNAGAR, ARUNI, ROBERTSON, ROSE MARIE · 2018 to 2022
$18.8M
Relations of Mitochondrial Genetic Variation and Function with Atrial FibrillationK01HL143142 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FETTERMAN, JESSICA L · 2019 to 2023
$757k
NHLBI NIH HHS K01 HL143142NHLBI NIH HHS R01 HL092577NHLBI NIH HHS U54 HL120163
6 · The paper itself

Abstract

introductionSwisher Sweets, a leading brand of little cigars and cigarillos in the United States, switched its Twitter account to protected status, limiting access to its tweets. This study examines how the protected status of Swisher Sweets tweets influences post engagement, aiming to inform regulatory strategies for branded tobacco promotions on social media.

methodUsing natural language processing, we predicted the demographics of individuals replying to Swisher Sweets' public and protected tweets. Engagement with public versus protected tweets was compared using a Mann-Whitney U test, and a mixed-effects logistic regression assessed the likelihood of different demographics replying to each tweet type. Chi-square analyses examined word frequencies related to any flavor, concept flavors, and characterizing flavor in replies to public and protected tweets.

resultsOverall, 16 % of individuals replying to Swisher Sweets' tweets were predicted to be under 21, and 65 % were Black. No significant difference was found in average reply counts to public versus protected tweets (p = .78). Black individuals were 2.61 times more likely than White individuals to engage with protected tweets after the status change (OR = 2.61, 95 % CI [1.36, 5.06], p = .004). Replies to protected tweets contained more words related to any flavor (adjusted p < .001) and concept flavors (adjusted p < .001) compared to public tweet replies.

conclusionsOur study suggests that the protected status on Twitter was ineffective in preventing underage engagement with Swisher Sweets' branded tweets and may facilitate targeted marketing among Black individuals. IMPLICATIONS: More stringent age verification procedures and promotional regulatory measures are needed to prevent targeted tobacco brand marketing on social media.

Indexed as

MarketingSocial MediaTobacco ProductsAdolescentAdultFemaleHumansMaleNatural Language ProcessingUnited StatesYoung AdultFlavored cigarsMachine learningSocial mediaTobacco marketingTwitter

Identifiers

PMID39689499
PMCPMC11844820

What OpenQuestion holds

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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.