Data-mining Twitter and the autism spectrum disorder: A Pilot study

Adham Beykikhoshk; Oggie Arandelovic; Dinh Phung; Svetha Venkatesh; Terry Caelli

doi:10.1109/ASONAM.2014.6921609

Data-mining Twitter and the autism spectrum disorder: A Pilot study

Adham Beykikhoshk
, Oggie Arandelovic
, Dinh Phung
, Svetha Venkatesh
, Terry Caelli

School of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 language	English
Title of host publication	ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	349-356
Number of pages	8
ISBN (Print)	9781479958771
DOIs	https://doi.org/10.1109/ASONAM.2014.6921609
Publication status	Published - 10 Oct 2014
Event	2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014 - Beijing, China Duration: 17 Aug 2014 → 20 Aug 2014

Conference

Conference	2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014
Country/Territory	China
City	Beijing
Period	17/08/14 → 20/08/14

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1109/ASONAM.2014.6921609

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Beykikhoshk, A., Arandelovic, O., Phung, D., Venkatesh, S., & 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 (pp. 349-356). Article 6921609 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASONAM.2014.6921609

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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.",

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Beykikhoshk, A, Arandelovic, O, Phung, D, Venkatesh, S & 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., 6921609, Institute of Electrical and Electronics Engineers Inc., pp. 349-356, 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, 17/08/14. https://doi.org/10.1109/ASONAM.2014.6921609

Data-mining Twitter and the autism spectrum disorder: A Pilot study. / Beykikhoshk, Adham; Arandelovic, Oggie; Phung, Dinh et al.
ASONAM 2014 - Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Institute of Electrical and Electronics Engineers Inc., 2014. p. 349-356 6921609.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Caelli, Terry

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Beykikhoshk A, Arandelovic O, Phung D, Venkatesh S, Caelli T. 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. Institute of Electrical and Electronics Engineers Inc. 2014. p. 349-356. 6921609 doi: 10.1109/ASONAM.2014.6921609

Data-mining Twitter and the autism spectrum disorder: A Pilot study

Abstract

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UN SDGs

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