Data-mining Twitter and the autism spectrum disorder: a pilot study

Adham Beykikhoshk, Ognjen Arandjelović, Dinh Phung, Svetha Venkatesh, Terry Caelli

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

30 Citations (Scopus)

Abstract

The autism spectrum disorder (ASD) is increasingly being recognized as a major public health issue which affects approximately 0.5-0.6% of the population. Promoting the general awareness of the disorder, increasing the engagement with the affected individuals and their carers, and understanding the success of penetration of the current clinical recommendations in the target communities, is crucial in driving research as well as policy. The aim of the present work is to investigate if Twitter, as a highly popular platform for information exchange, can be used as a data-mining source which could aid in the aforementioned challenges. Specifically, using a large data set of harvested tweets, we present a series of experiments which examine a range of linguistic and semantic aspects of messages posted by individuals interested in ASD. Our findings, the first of their nature in the published scientific literature, strongly motivate additional research on this topic and present a methodological basis for further work.

Original languageEnglish
Title of host publicationASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Subtitle of host publicationBeijing, China August 17-20, 2014
EditorsXindong Wu, Martin Ester, Guandong Xu
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages349-356
Number of pages8
ISBN (Electronic)9781479958771, 9781479958764
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2014 - Beijing, China
Duration: 17 Aug 201420 Aug 2014
http://asonam.cpsc.ucalgary.ca/2014/home.html

Conference

ConferenceIEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2014
Abbreviated titleASONAM 2014
CountryChina
CityBeijing
Period17/08/1420/08/14
Internet address

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