Data-mining twitter and the autism spectrum disorder: a pilot study
Beykikhoshk,A, Arandjelović,O, Phung,D, Venkatesh,S and Caelli,T 2014, Data-mining twitter and the autism spectrum disorder: a pilot study, in ASONAM 2014 : Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, IEEE, Piscataway, N.J., pp. 349-356, doi: 10.1109/ASONAM.2014.6921609.
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Title
Data-mining twitter and the autism spectrum disorder: a pilot study
Advances in Social Networks Analysis and Mining Conference
Start page
349
End page
356
Total pages
8
Publisher
IEEE
Place of publication
Piscataway, N.J.
Summary
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.
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