PMID- 30694199
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20201001
IS  - 2291-9694 (Print)
IS  - 2291-9694 (Electronic)
VI  - 7
IP  - 1
DP  - 2019 Jan 29
TI  - Data Analysis and Visualization of Newspaper Articles on Thirdhand Smoke: A Topic 
      Modeling Approach.
PG  - e12414
LID - 10.2196/12414 [doi]
LID - e12414
AB  - BACKGROUND: Thirdhand smoke has been a growing topic for years in China. 
      Thirdhand smoke (THS) consists of residual tobacco smoke pollutants that remain 
      on surfaces and in dust. These pollutants are re-emitted as a gas or react with 
      oxidants and other compounds in the environment to yield secondary pollutants. 
      OBJECTIVE: Collecting media reports on THS from major media outlets and analyzing 
      this subject using topic modeling can facilitate a better understanding of the 
      role that the media plays in communicating this health issue to the public. 
      METHODS: The data were retrieved from the Wiser and Factiva news databases. A 
      preliminary investigation focused on articles dated between January 1, 2013, and 
      December 31, 2017. Use of Latent Dirichlet Allocation yielded the top 10 topics 
      about THS. The use of the modified LDAvis tool enabled an overall view of the 
      topic model, which visualizes different topics as circles. Multidimensional 
      scaling was used to represent the intertopic distances on a two-dimensional 
      plane. RESULTS: We found 745 articles dated between January 1, 2013, and December 
      31, 2017. The United States ranked first in terms of publications (152 articles 
      on THS from 2013-2017). We found 279 news reports about THS from the Chinese 
      media over the same period and 363 news reports from the United States. Given our 
      analysis of the percentage of news related to THS in China, Topic 1 (Cancer) was 
      the most popular among the topics and was mentioned in 31.9% of all news stories. 
      Topic 2 (Control of quitting smoking) was related to roughly 15% of news items on 
      THS. CONCLUSIONS: Data analysis and the visualization of news articles can 
      generate useful information. Our study shows that topic modeling can offer 
      insights into understanding news reports related to THS. This analysis of media 
      trends indicated that related diseases, air and particulate matter (PM(2.5)), and 
      control and restrictions are the major concerns of the Chinese media reporting on 
      THS. The Chinese press still needs to consider fuller reports on THS based on 
      scientific evidence and with less focus on sensational headlines. We recommend 
      that additional studies be conducted related to sentiment analysis of news data 
      to verify and measure the influence of THS-related topics.
CI  - (c)Qian Liu, Qiuyi Chen, Jiayi Shen, Huailiang Wu, Yimeng Sun, Wai-Kit Ming. 
      Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 
      29.01.2019.
FAU - Liu, Qian
AU  - Liu Q
AUID- ORCID: 0000-0001-9070-2863
AD  - School of Journalism and Communication, Jinan University, Guangzhou, China.
AD  - National Media Experimental Teaching Demonstration Center, Jinan University, 
      Guangzhou, China.
FAU - Chen, Qiuyi
AU  - Chen Q
AUID- ORCID: 0000-0001-6616-9448
AD  - School of Journalism and Communication, Jinan University, Guangzhou, China.
FAU - Shen, Jiayi
AU  - Shen J
AUID- ORCID: 0000-0002-7022-6940
AD  - School of Medicine, Jinan University, Guangzhou, China.
FAU - Wu, Huailiang
AU  - Wu H
AUID- ORCID: 0000-0002-2040-3945
AD  - School of Medicine, Jinan University, Guangzhou, China.
FAU - Sun, Yimeng
AU  - Sun Y
AUID- ORCID: 0000-0002-9454-7394
AD  - School of Journalism and Communication, Jinan University, Guangzhou, China.
FAU - Ming, Wai-Kit
AU  - Ming WK
AUID- ORCID: 0000-0002-8846-7515
AD  - Department of Obstetrics & Gynaecology, The First Affiliated Hospital, Sun 
      Yat-sen University, Guangzhou, China.
AD  - Harvard Medical School, Harvard University, Boston, MA, United States.
AD  - Faculty of Medicine, The Chinese University of Hong Kong, Shatin, NT, China (Hong 
      Kong).
AD  - Li Ka Shing Faculty of Medicine, University of Hong Kong, Pokfulam, China (Hong 
      Kong).
LA  - eng
PT  - Journal Article
DEP - 20190129
PL  - Canada
TA  - JMIR Med Inform
JT  - JMIR medical informatics
JID - 101645109
PMC - PMC6371067
OTO - NOTNLM
OT  - indoor air quality
OT  - media concerns
OT  - third-hand smoke
OT  - tobacco
OT  - topic modeling
COIS- Conflicts of Interest: None declared.
EDAT- 2019/01/30 06:00
MHDA- 2019/01/30 06:01
PMCR- 2019/01/29
CRDT- 2019/01/30 06:00
PHST- 2018/10/06 00:00 [received]
PHST- 2019/01/05 00:00 [accepted]
PHST- 2018/12/14 00:00 [revised]
PHST- 2019/01/30 06:00 [entrez]
PHST- 2019/01/30 06:00 [pubmed]
PHST- 2019/01/30 06:01 [medline]
PHST- 2019/01/29 00:00 [pmc-release]
AID - v7i1e12414 [pii]
AID - 10.2196/12414 [doi]
PST - epublish
SO  - JMIR Med Inform. 2019 Jan 29;7(1):e12414. doi: 10.2196/12414.