Estimating support scores of autism communities in large-scale web information systems

Nguyen Thin; Nguyen Hung; Svetha Venkatesh; Dinh Phung

doi:10.1007/978-3-319-68783-4_24

Estimating support scores of autism communities in large-scale web information systems

Nguyen Thin, Nguyen Hung, Svetha Venkatesh, Dinh Phung

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

4 Citations (Scopus)

Abstract

Individuals with Autism Spectrum Disorder (ASD) have been shown to prefer communication at a socio-spatial distance. So while rarely found in the real world, autism communities are popular in Web-based forums, convenient for people with ASD to seek and share health related information. Reddit is one such avenue for people of common interest to connect, forming communities of specific interest, namely subreddits. This work aims to estimate support scores provided by a popular subreddit interested in ASD – www.reddit.com/r/aspergers. The scores were measured in both the quantities and qualities of the conversations in the forum, including conversational involvement, emotional, and informational support. The support scores of the subreddit Aspergers was compared with that of an average subreddit derived from entire Reddit, represented by two big corpora of approximately 200 million Reddit posts and 1.66 billion Reddit comments. The ASD subreddit was found to be a supportive community, having far higher support scores than did the average subreddit. Apache Spark, an advanced cluster computing framework, is employed to speed up processing of the large corpora. Scalable machine learning techniques implemented in Spark help discriminate the content made in Aspergers versus other subreddits and automatically discover linguistic predictors of ASD within minutes, providing timely reports.

Original language	English
Title of host publication	Web Information Systems Engineering – WISE 2017
Subtitle of host publication	18th International Conference Puschino, Russia, October 7–11, 2017 Proceedings, Part I
Editors	Athman Bouguettaya, Yunjun Gao, Andrey Klimenko, Lu Chen, Xiangliang Zhang, Fedor Dzerzhinskiy, Weijia Jia, Stanislav V. Klimenko, Qing Li
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	347-355
Number of pages	9
ISBN (Electronic)	9783319687834
ISBN (Print)	9783319687827
DOIs	https://doi.org/10.1007/978-3-319-68783-4_24
Publication status	Published - 2017
Externally published	Yes
Event	International Conference on Web Information Systems Engineering 2017 - Puschino, Russian Federation Duration: 7 Oct 2017 → 11 Oct 2017 Conference number: 18th http://www.wise-conferences.org/2017/index.html https://link.springer.com/book/10.1007/978-3-319-68783-4 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
Volume	10569
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Web Information Systems Engineering 2017
Abbreviated title	WISE 2017
Country/Territory	Russian Federation
City	Puschino
Period	7/10/17 → 11/10/17
Internet address	http://www.wise-conferences.org/2017/index.html https://link.springer.com/book/10.1007/978-3-319-68783-4 (Proceedings)

Keywords

Apache Spark
Autism communities
Big data
Large-scale distributed computing
Support scores

Access to Document

10.1007/978-3-319-68783-4_24

Cite this

Thin, N., Hung, N., Venkatesh, S., & Phung, D. (2017). Estimating support scores of autism communities in large-scale web information systems. In A. Bouguettaya, Y. Gao, A. Klimenko, L. Chen, X. Zhang, F. Dzerzhinskiy, W. Jia, S. V. Klimenko, & Q. Li (Eds.), Web Information Systems Engineering – WISE 2017 : 18th International Conference Puschino, Russia, October 7–11, 2017 Proceedings, Part I (pp. 347-355). (Lecture Notes in Computer Science ; Vol. 10569 ). Springer. https://doi.org/10.1007/978-3-319-68783-4_24

Thin, Nguyen ; Hung, Nguyen ; Venkatesh, Svetha et al. / Estimating support scores of autism communities in large-scale web information systems. Web Information Systems Engineering – WISE 2017 : 18th International Conference Puschino, Russia, October 7–11, 2017 Proceedings, Part I. editor / Athman Bouguettaya ; Yunjun Gao ; Andrey Klimenko ; Lu Chen ; Xiangliang Zhang ; Fedor Dzerzhinskiy ; Weijia Jia ; Stanislav V. Klimenko ; Qing Li. Cham Switzerland : Springer, 2017. pp. 347-355 (Lecture Notes in Computer Science ).

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title = "Estimating support scores of autism communities in large-scale web information systems",

abstract = "Individuals with Autism Spectrum Disorder (ASD) have been shown to prefer communication at a socio-spatial distance. So while rarely found in the real world, autism communities are popular in Web-based forums, convenient for people with ASD to seek and share health related information. Reddit is one such avenue for people of common interest to connect, forming communities of specific interest, namely subreddits. This work aims to estimate support scores provided by a popular subreddit interested in ASD – www.reddit.com/r/aspergers. The scores were measured in both the quantities and qualities of the conversations in the forum, including conversational involvement, emotional, and informational support. The support scores of the subreddit Aspergers was compared with that of an average subreddit derived from entire Reddit, represented by two big corpora of approximately 200 million Reddit posts and 1.66 billion Reddit comments. The ASD subreddit was found to be a supportive community, having far higher support scores than did the average subreddit. Apache Spark, an advanced cluster computing framework, is employed to speed up processing of the large corpora. Scalable machine learning techniques implemented in Spark help discriminate the content made in Aspergers versus other subreddits and automatically discover linguistic predictors of ASD within minutes, providing timely reports.",

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author = "Nguyen Thin and Nguyen Hung and Svetha Venkatesh and Dinh Phung",

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pages = "347--355",

editor = "Athman Bouguettaya and Yunjun Gao and Andrey Klimenko and Lu Chen and Xiangliang Zhang and Fedor Dzerzhinskiy and Weijia Jia and Klimenko, {Stanislav V.} and Qing Li",

booktitle = "Web Information Systems Engineering – WISE 2017",

note = "International Conference on Web Information Systems Engineering 2017, WISE 2017 ; Conference date: 07-10-2017 Through 11-10-2017",

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Thin, N, Hung, N, Venkatesh, S & Phung, D 2017, Estimating support scores of autism communities in large-scale web information systems. in A Bouguettaya, Y Gao, A Klimenko, L Chen, X Zhang, F Dzerzhinskiy, W Jia, SV Klimenko & Q Li (eds), Web Information Systems Engineering – WISE 2017 : 18th International Conference Puschino, Russia, October 7–11, 2017 Proceedings, Part I. Lecture Notes in Computer Science , vol. 10569 , Springer, Cham Switzerland, pp. 347-355, International Conference on Web Information Systems Engineering 2017, Puschino, Russian Federation, 7/10/17. https://doi.org/10.1007/978-3-319-68783-4_24

Estimating support scores of autism communities in large-scale web information systems. / Thin, Nguyen; Hung, Nguyen; Venkatesh, Svetha et al.
Web Information Systems Engineering – WISE 2017 : 18th International Conference Puschino, Russia, October 7–11, 2017 Proceedings, Part I. ed. / Athman Bouguettaya; Yunjun Gao; Andrey Klimenko; Lu Chen; Xiangliang Zhang; Fedor Dzerzhinskiy; Weijia Jia; Stanislav V. Klimenko; Qing Li. Cham Switzerland: Springer, 2017. p. 347-355 (Lecture Notes in Computer Science ; Vol. 10569 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Hung, Nguyen

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Thin N, Hung N, Venkatesh S, Phung D. Estimating support scores of autism communities in large-scale web information systems. In Bouguettaya A, Gao Y, Klimenko A, Chen L, Zhang X, Dzerzhinskiy F, Jia W, Klimenko SV, Li Q, editors, Web Information Systems Engineering – WISE 2017 : 18th International Conference Puschino, Russia, October 7–11, 2017 Proceedings, Part I. Cham Switzerland: Springer. 2017. p. 347-355. (Lecture Notes in Computer Science ). doi: 10.1007/978-3-319-68783-4_24

Estimating support scores of autism communities in large-scale web information systems

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