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Understanding behavioral differences between short and long-term drinking abstainers from social media

Harikumar, Haripriya, Nguyen, Thin, Gupta, Sunil, Rana, Santu, Kaimal, Ramachandra and Venkatesh, Svetha 2016, Understanding behavioral differences between short and long-term drinking abstainers from social media, in ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference, Springer International, Cham, Switzerland, pp. 520-533, doi: 10.1007/978-3-319-49586-6_36.

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Title Understanding behavioral differences between short and long-term drinking abstainers from social media
Author(s) Harikumar, Haripriya
Nguyen, ThinORCID iD for Nguyen, Thin orcid.org/0000-0003-3467-8963
Gupta, SunilORCID iD for Gupta, Sunil orcid.org/0000-0002-3308-1930
Rana, SantuORCID iD for Rana, Santu orcid.org/0000-0003-2247-850X
Kaimal, Ramachandra
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Advanced Data Mining and Applications. International Conference (12th : 2016 : Gold Coast, Queensland)
Conference location Gold Coast, Queensland
Conference dates 12-15 Dec. 2016
Title of proceedings ADMA 2016 : Proceedings of the 12th Advanced Data Mining and Applications International Conference
Editor(s) Li, Jinyan
Li, Xue
Wang, Shuliang
Li, Jianxin
Sheng, Quan Z.
Publication date 2016
Series Lecture notes in artificial intelligence
Conference series Advanced Data Mining and Applications International Conference
Start page 520
End page 533
Total pages 14
Publisher Springer International
Place of publication Cham, Switzerland
Keyword(s) feature selection
health promotion
Reddit
stop drinking
abstinence
Summary Drinking alcohol has high cost on society. The journey from being a regular drinker to a successful quitter may be a long and hard journey, fraught with the risk to relapse. Research has shown that certain behavioral changes can be effective towards staying abstained. Traditional way to conduct research on drinking abstainers uses questionnaire based approach to collect data from a curated group of people. However, it is an expensive approach in both cost and time and often results in small data with less diversity. Recently, social media has emerged as a rich data source. Reddit is one such social media platform that has a community (‘subreddit’) with an interest to quit drinking. The discussions among the group dates back to year 2011 and contain more than 40,000 posts. This large scale data is generated by users themselves and without being limited by any survey questionnaires. The most predictive factors from the features (unigrams, topics and LIWC) associated with short-term and long-term abstinence are identified using Lasso. It is seen that many common patterns manifest in unigrams, topics and LIWC. Whilst topics provided much richer associations between a group of words and the outcome, unigrams and LIWC are found to be good at finding highly predictive solo and psycho linguistically important words. Combining them we have found that many interesting patterns that are associated with the successful attempt made by the long-term abstainer, at the same time finding many of the common issues faced during the initial period of abstinence.
ISBN 9783319495859
ISSN 0302-9743
1611-3349
Language eng
DOI 10.1007/978-3-319-49586-6_36
Field of Research 080109 Pattern Recognition and Data Mining
Socio Economic Objective 0 Not Applicable
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2016, Springer International
Persistent URL http://hdl.handle.net/10536/DRO/DU:30093593

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