Farooghian, F. & Oussalah, M. (2017). Smoking cessation causes : contrasting evidence from social media and online forums. In L. Boratto, A. Kaltebrunner and G. Stilo (Eds.), Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval (ECIR 2017), Aberdeen, Scotland (UK), 9 April 2017 (pp. 1-7). Aachen : CEUR-WS.
Smoking cessation causes : contrasting evidence from social media and online forums
|Author:||Farooghian, Foaad1; Oussalah, Mourad2|
1iHR, Faraday Wharf, Innovation Birmingham Campus Holt Street, Birmingham Science Park Aston, Birmingham, B7 4BB (UK)
2University of Oulu, Centre for Ubiquitous Computing, Computer Science, PO Box 4500, 90014 Oulu (Finland)
|Online Access:||PDF Full Text (PDF, 0.4 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2019081924637
RWTH Aachen University,
|Publish Date:|| 2019-08-19
An automated-based system has been developed in order to gather stories from iCanQuit. Similarly, using Twitter Streaming API, geolocated tweets within UK region have been collected during a three months period, and those related to smoking cessation, according to the semantic text matching, are extracted and stored in a database. An automated classifier has been employed to identify the four most dominant categories in Health field for each document of blogs or Twitter dataset. A total of 880 stories from iCanQuit and 22155 relevant tweets have been collected and indexed in SQLite database. The automated classifier highlighted four categories: Weight Loss, Mental Health, Addiction, Support Group. The analysis surprisingly reveals that both blogs and Twitter datasets agree that the dominant source of smoking cessation is related to weight loss (shape body appearance), or body-look, while the support group, which includes any clinician supports, plays little impact on the smokers’ quit motivation, a result that maybe precious for health authorities.
CEUR workshop proceedings
|Pages:||1 - 7|
Proceedings of the Workshop on Social Media for Personalization and Search co-located with 39th European Conference on Information Retrieval (ECIR 2017)
|Host publication editor:||
Social Media for Personalization and Search & European Conference on Information Retrieval
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
113 Computer and information sciences
518 Media and communications
This work is supported by University of Birmingham School of Electronics, Elec-
trical and Computer Engineering as well as EPSRC GAP Project, which are
grateful for their financial help in conducting this research, when the first au-
thor was with Birmingham University.
Copyright © by the paper’s authors. Copying permitted for private and academic purposes. Published in this repository with the kind permission of the publisher.