E-cigarette use and perception among Malaysian: findings from text-mining analytics

Introduction: E-cigarette use among adults are steadily increasing over the past few years. It is highlighted by the significant increases in online search queries and sharing of information through social media, such as Twitter. However, little attention has been given on understanding the reasons...

Full description

Saved in:
Bibliographic Details
Main Authors: Kartiwi, Mira, Nik Mohamed, Mohamad Haniki, Ab Rahman, Jamalludin, Draman, Samsul, Ab Rahman, Norny Syafinaz
Format: Article
Language:English
Published: Malaysian Medical Association 2017
Subjects:
Online Access:http://irep.iium.edu.my/58866/1/58866_E-cigarette%20use%20and%20perception%20among%20Malaysian.pdf
http://irep.iium.edu.my/58866/
http://www.e-mjm.org/2017/v72s1/22.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.iium.irep.58866
record_format dspace
spelling my.iium.irep.588662017-12-14T04:20:17Z http://irep.iium.edu.my/58866/ E-cigarette use and perception among Malaysian: findings from text-mining analytics Kartiwi, Mira Nik Mohamed, Mohamad Haniki Ab Rahman, Jamalludin Draman, Samsul Ab Rahman, Norny Syafinaz R Medicine (General) Introduction: E-cigarette use among adults are steadily increasing over the past few years. It is highlighted by the significant increases in online search queries and sharing of information through social media, such as Twitter. However, little attention has been given on understanding the reasons that led to e-cigarette use among Malaysian. In particular, study that leverage the opportunity to extract critical information from textual data in social media by using text mining technique. It is the aim of this paper to share the potential use of such technique by providing overview of processes and examples of the insights derived from the analysis. Methods: In this study, the textual analytics was used to identify topics and extract meanings from social media posts, in this case Twitter. The messages posted by Malaysian users from 2012 to early 2017 containing any of the selected keywords or phrase (i.e., #vape, #ecig, #vaping, #ejuice, #vapemalaysia) were collected using its search application programming interface (API). A total of 4211 messages containing original tweets were retrieved. Results: The result from the text mining analytics show that mainly there were three themes emerged on the reasons of e-cigarette use, namely: the sense of being part of a bigger community, e-cigarette is perceived more fun as compared to smoking conventional cigarette, and flavour of e-liquid. The result also shows that there was a spike on Twitter activity in 2015, where the topic on vape community were mostly posted. Discussion: The three themes identified in this study reveal initial reactions of public to Malaysian Government initiatives to regulate e-cigarette. It is believed that such findings would allow the government and medical practitioners to better understand public knowledge levels and identify current misunderstandings. Malaysian Medical Association 2017-08-01 Article REM application/pdf en http://irep.iium.edu.my/58866/1/58866_E-cigarette%20use%20and%20perception%20among%20Malaysian.pdf Kartiwi, Mira and Nik Mohamed, Mohamad Haniki and Ab Rahman, Jamalludin and Draman, Samsul and Ab Rahman, Norny Syafinaz (2017) E-cigarette use and perception among Malaysian: findings from text-mining analytics. The Medical Journal of Malaysia, 72 (supp. 1). p. 22. ISSN 0300-5283 http://www.e-mjm.org/2017/v72s1/22.pdf
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic R Medicine (General)
spellingShingle R Medicine (General)
Kartiwi, Mira
Nik Mohamed, Mohamad Haniki
Ab Rahman, Jamalludin
Draman, Samsul
Ab Rahman, Norny Syafinaz
E-cigarette use and perception among Malaysian: findings from text-mining analytics
description Introduction: E-cigarette use among adults are steadily increasing over the past few years. It is highlighted by the significant increases in online search queries and sharing of information through social media, such as Twitter. However, little attention has been given on understanding the reasons that led to e-cigarette use among Malaysian. In particular, study that leverage the opportunity to extract critical information from textual data in social media by using text mining technique. It is the aim of this paper to share the potential use of such technique by providing overview of processes and examples of the insights derived from the analysis. Methods: In this study, the textual analytics was used to identify topics and extract meanings from social media posts, in this case Twitter. The messages posted by Malaysian users from 2012 to early 2017 containing any of the selected keywords or phrase (i.e., #vape, #ecig, #vaping, #ejuice, #vapemalaysia) were collected using its search application programming interface (API). A total of 4211 messages containing original tweets were retrieved. Results: The result from the text mining analytics show that mainly there were three themes emerged on the reasons of e-cigarette use, namely: the sense of being part of a bigger community, e-cigarette is perceived more fun as compared to smoking conventional cigarette, and flavour of e-liquid. The result also shows that there was a spike on Twitter activity in 2015, where the topic on vape community were mostly posted. Discussion: The three themes identified in this study reveal initial reactions of public to Malaysian Government initiatives to regulate e-cigarette. It is believed that such findings would allow the government and medical practitioners to better understand public knowledge levels and identify current misunderstandings.
format Article
author Kartiwi, Mira
Nik Mohamed, Mohamad Haniki
Ab Rahman, Jamalludin
Draman, Samsul
Ab Rahman, Norny Syafinaz
author_facet Kartiwi, Mira
Nik Mohamed, Mohamad Haniki
Ab Rahman, Jamalludin
Draman, Samsul
Ab Rahman, Norny Syafinaz
author_sort Kartiwi, Mira
title E-cigarette use and perception among Malaysian: findings from text-mining analytics
title_short E-cigarette use and perception among Malaysian: findings from text-mining analytics
title_full E-cigarette use and perception among Malaysian: findings from text-mining analytics
title_fullStr E-cigarette use and perception among Malaysian: findings from text-mining analytics
title_full_unstemmed E-cigarette use and perception among Malaysian: findings from text-mining analytics
title_sort e-cigarette use and perception among malaysian: findings from text-mining analytics
publisher Malaysian Medical Association
publishDate 2017
url http://irep.iium.edu.my/58866/1/58866_E-cigarette%20use%20and%20perception%20among%20Malaysian.pdf
http://irep.iium.edu.my/58866/
http://www.e-mjm.org/2017/v72s1/22.pdf
_version_ 1643615455034736640
score 13.160551