Grant Details
Grant Number: |
5R21CA218231-02 Interpret this number |
Primary Investigator: |
Kavuluru, Venkata Naga Ramakanth |
Organization: |
University Of Kentucky |
Project Title: |
Toward Fine-Grained E-Cigarette Surveillance on Social Media: Evolving Themes, Popularity Predictors, and Demographic Variations |
Fiscal Year: |
2018 |
Abstract
ABSTRACT
Electronic cigarettes (or e-cigarettes) are currently a popular emerging tobacco product. Because e-cigarettes do
not generate toxic tobacco combustion products produced when smoking regular cigarettes, they are perceived
and sometimes promoted as a less harmful alternative to smoking and also as a means to quit smoking. Although
they may be less harmful, the efficacy of using them for smoking cessation has not been demonstrated conclu-
sively with studies indicating evidence both favoring and opposing such an application for them. Furthermore,
owing to their recent introduction, there are also safety concerns given reported adverse events. The US Federal
Drug Administration (FDA) has introduced regulations that went into effect on 8/8/2016 requiring FDA review for
e-cigarette products, banning sales to minors and free samples, and requiring warning labels on certain prod-
ucts. In this context, surveillance of evolving themes and factors contributing to message popularity for e-cigarette
chatter on social media platforms is an important activity. Twitter has become the favorite network for teenagers
and young adults owing to the short message size and associated ease of use on smart phones. For an emerg-
ing product like e-cigarettes, the asymmetric follower-friend connections and hashtag functionality in Twitter offer
a convenient way to propagate information and facilitate discussion. Among online forums, Reddit allows for
longer messages from users inviting specific feedback from other users. Within Reddit, the e-cigarette subreddit
facilitates focused discussions on e-cigarette use and products. In this project, we propose to computationally
analyze the contents and user profiles available in the dataset of all e-cigarette tweets generated during 7/2016–
6/2017 and all e-cigarette subreddit posts/comments generated since 9/2016. We will continue such analyses
with data collected through free but rate limited API throughout the duration of the project. Our first aim is to sur-
face specific themes of interest directly from e-cigarette messages using phrase based online and binned topic
models. We expect these themes to complement familiar broad themes that researchers currently consider when
analyzing online messages. Next, we will identify factors (involving message content and profile characteristics)
that contribute to different notions of popularity (#retweets, #replies, #up-votes) of e-cigarette tweets/messages.
We expect these results will help health agencies, the FDA, and researchers gain insights into observed viral
nature of certain messages and designing effective strategies to maximize diffusion of their messages. Finally,
we will conduct these analyses along the dimensions of gender, race, and age to grasp variations in themes and
popularity factors specific to different vulnerable demographic segments.
Publications
Opinions on Homeopathy for COVID-19 on Twitter.
Authors: Bopaiah J.
, Garimella K.
, Kavuluru R.
.
Source: Proceedings Of The ... Acm Web Science Conference. Acm Web Science Conference, 2022 Jun; 2022, p. 359-363.
EPub date: 2022-06-26 00:00:00.0.
PMID: 36112977
Related Citations
Tracking sentiments toward fat acceptance over a decade on Twitter.
Authors: Bograd S.
, Chen B.
, Kavuluru R.
.
Source: Health Informatics Journal, 2022 Jan-Mar; 28(1), p. 14604582211065702.
PMID: 34986689
Related Citations
Therapeutic Claims in Cannabidiol (CBD) Marketing Messages on Twitter.
Authors: Soleymanpour M.
, Saderholm S.
, Kavuluru R.
.
Source: Proceedings. Ieee International Conference On Bioinformatics And Biomedicine, 2021 Dec; 2021, p. 3083-3088.
EPub date: 2022-01-14 00:00:00.0.
PMID: 35096472
Related Citations
Twitter, Telepractice, and the COVID-19 Pandemic: A Social Media Content Analysis.
Authors: Weidner K.
, Lowman J.
, Fleischer A.
, Kosik K.
, Goodbread P.
, Chen B.
, Kavuluru R.
.
Source: American Journal Of Speech-language Pathology, 2021-11-04 00:00:00.0; 30(6), p. 2561-2571.
EPub date: 2021-09-09 00:00:00.0.
PMID: 34499843
Related Citations
Twitter discourse on nicotine as potential prophylactic or therapeutic for COVID-19.
Authors: Kavuluru R.
, Noh J.
, Rose S.W.
.
Source: The International Journal On Drug Policy, 2021-09-20 00:00:00.0; 99, p. 103470.
EPub date: 2021-09-20 00:00:00.0.
PMID: 34607223
Related Citations
Identifying current Juul users among emerging adults through Twitter feeds.
Authors: Tran T.
, Ickes M.J.
, Hester J.W.
, Kavuluru R.
.
Source: International Journal Of Medical Informatics, 2021 Feb; 146, p. 104350.
EPub date: 2020-12-10 00:00:00.0.
PMID: 33341556
Related Citations
Twitter Discourse on Nicotine as Potential Prophylactic or Therapeutic for COVID-19.
Authors: Kavuluru R.
, Noh J.
, Rose S.W.
.
Source: Medrxiv : The Preprint Server For Health Sciences, 2021-01-06 00:00:00.0; , .
EPub date: 2021-01-06 00:00:00.0.
PMID: 33442710
Related Citations
Social media surveillance for perceived therapeutic effects of cannabidiol (CBD) products.
Authors: Tran T.
, Kavuluru R.
.
Source: The International Journal On Drug Policy, 2020 Mar; 77, p. 102688.
EPub date: 2020-02-21 00:00:00.0.
PMID: 32092666
Related Citations
Prevalence and reasons for Juul use among college students.
Authors: Ickes M.
, Hester J.W.
, Wiggins A.T.
, Rayens M.K.
, Hahn E.J.
, Kavuluru R.
.
Source: Journal Of American College Health : J Of Ach, 2019-03-26 00:00:00.0; , p. 1-5.
EPub date: 2019-03-26 00:00:00.0.
PMID: 30913003
Related Citations
Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.
Authors: Sarker A.
, Belousov M.
, Friedrichs J.
, Hakala K.
, Kiritchenko S.
, Mehryary F.
, Han S.
, Tran T.
, Rios A.
, Kavuluru R.
, et al.
.
Source: Journal Of The American Medical Informatics Association : Jamia, 2018-10-01 00:00:00.0; 25(10), p. 1274-1283.
PMID: 30272184
Related Citations
On the popularity of the USB flash drive-shaped electronic cigarette Juul.
Authors: Kavuluru R.
, Han S.
, Hahn E.J.
.
Source: Tobacco Control, 2018-04-13 00:00:00.0; , .
EPub date: 2018-04-13 00:00:00.0.
PMID: 29654121
Related Citations