An Integrated Approach of Sensing Tobacco-Oriented Activities in Online Participatory Media

Yunji Liang, Xingshe Zhou, Daniel Dajun Zeng, Bin Guo, Xiaolong Zheng, Zhiwen Yu

Research output: Contribution to journalArticle

7 Scopus citations

Abstract

With the embracing of mobile Internet of Things, participatory media is becoming a new battlefield for tobacco wars. However, how to automatically collect and analyze the large-scale user-generated data that are relevant to tobacco in participatory media is still unexplored. In this paper, we propose an integrated approach of sensing collective activities in tobacco-related participatory media. Meanwhile, we compare the temporal patterns, topological patterns, and collective emotion patterns among protobacco, antitobacco, and quit-tobacco groups. Based on the proposed framework, a prototype was implemented to collect large-scale tobacco-related data sets from Facebook. This demonstrates that the proposed framework is feasible and reasonable. Our preliminary findings reveal that, first, tobacco-related content grows exponentially. In particular, the growth of the protobacco group follows the exponential law, whereas there is linear growth for the tobacco control group. Second, the connection between the tobacco control community and the tobacco cessation community is tight, whereas the nodes in the protobacco community are connected sparsely. Finally, the collective emotion in tobacco communities is negative.

Original languageEnglish (US)
Article number6754128
Pages (from-to)1193-1202
Number of pages10
JournalIEEE Systems Journal
Volume10
Issue number3
DOIs
StatePublished - Sep 2016

Keywords

  • Facebook
  • Internet of Things (IoT)
  • Tobacco surveillance
  • participatory media
  • public health
  • tobacco control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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