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

Version 2 2024-06-03, 18:52
Version 1 2015-04-15, 12:42
conference contribution
posted on 2024-06-03, 18:52 authored by A Beykikhoshk, O Arandjelović, D Phung, Svetha VenkateshSvetha Venkatesh, Terry Caelli
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.

History

Pagination

349-356

Location

Beijing, China

Start date

2014-08-17

End date

2014-08-20

ISBN-13

9781479958771

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2014, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

ASONAM 2014 : Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Event

Advances in Social Networks Analysis and Mining. Conference (2014: Beijing, China)

Publisher

IEEE

Place of publication

Piscataway, NJ

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