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Data-mining twitter and the autism spectrum disorder: A Pilot study
conference contribution
posted on 2014-10-10, 00:00 authored by Adham Beykikhoshk, O Arandjelović, Quoc-Dinh Phung, Svetha VenkateshSvetha Venkatesh, Terry CaelliTerry CaelliThe 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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Pagination
349 - 356Publisher DOI
ISBN-13
9781479958771Publication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2014, IEEETitle of proceedings
ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and MiningUsage metrics
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