Evidence map›Paper›PMID 36036970›Full record

ArticleJMIR medical informatics2022

Perceptions and Discussions of Snus on Twitter: Observational Study.

Jiarui Chen, Siyu Xue, Zidian Xie, Dongmei Li

Open access · goldAbstract read
In one paragraph

Article in JMIR medical informatics, 2022. 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
1.0field-weighted citation impact, top 21% of its field
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, 7 citations in OpenAlex.

  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
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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

4 authors at 2 institutions in 1 country.

Jiarui ChenGoergen Institute for Data Science, University of Rochester, Rochester, NY, United States.ORCID https://orcid.org/0000-0001-5863-5277
Siyu XueGoergen Institute for Data Science, University of Rochester, Rochester, NY, United States.ORCID https://orcid.org/0000-0003-3670-1493
Zidian XieDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID https://orcid.org/0000-0002-5149-7710
Dongmei LiDepartment of Clinical & Translational Research, University of Rochester Medical Center, Rochester, NY, United States.ORCID https://orcid.org/0000-0001-9140-2483
University of Rochester · USUniversity of Rochester Medical Center · US

Funding

WNY Center for Research on Flavored Tobacco Products (CRoFT)U54CA228110 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI OSSIP, DEBORAH J · 2018 to 2022
$19.8M
NCI NIH HHS U54 CA228110
6 · The paper itself

Abstract

backgroundWith the increasing popularity of snus, it is essential to understand the public perception of this oral tobacco product. Twitter-a popular social media platform that is being used to share personal experiences and opinions-provides an ideal data source for studying the public perception of snus.

objectiveThis study aims to examine public perceptions and discussions of snus on Twitter.

methodsTwitter posts (tweets) about snus were collected through the Twitter streaming application programming interface from March 11, 2021, to February 26, 2022. A temporal analysis was conducted to examine the change in number of snus-related tweets over time. A sentiment analysis was conducted to examine the sentiments of snus-related tweets. Topic modeling was applied to tweets to determine popular topics. Finally, a keyword search and hand-coding were used to understand the health symptoms mentioned in snus-related tweets.

resultsThe sentiment analysis showed that the proportion of snus-related tweets with a positive sentiment was significantly higher than the proportion of negative sentiment tweets (4341/11,631, 37.32% vs 3094/11,631, 26.60%; P<.001). The topic modeling analysis revealed that positive tweets focused on snus's harm reduction and snus use being an alternative to smoking, while negative tweets focused on health concerns related to snus. Mouth and respiratory symptoms were the most mentioned health symptoms in snus-related tweets.

conclusionsThis study examined the public perception of snus and popular snus-related topics discussed on Twitter, thus providing a guide for policy makers with regard to the future formulation and adjustment of tobacco regulation policies.

Indexed as

sentimentsmokeless tobacco productssnustopic modelingTwitter

Identifiers

PMID36036970
PMCPMC9468913
OpenAlexW4286440463

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.