Classifying help seeking behaviour in online communities

Cross, S; Waters, Z; Kitto, K; Zuccon, G

Classifying help seeking behaviour in online communities

Cross, S Waters, Z Kitto, K

Zuccon, G

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Publication Type:: Conference Proceeding
Citation:: ACM International Conference Proceeding Series, 2017, pp. 419 - 423
Issue Date:: 2017-03-13

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Field	Value	Language
dc.contributor.author	Cross, S	en_US
dc.contributor.author	Waters, Z	en_US
dc.contributor.author	Kitto, K https://orcid.org/0000-0001-7642-7121	en_US
dc.contributor.author	Zuccon, G	en_US
dc.date.issued	2017-03-13	en_US
dc.identifier.citation	ACM International Conference Proceeding Series, 2017, pp. 419 - 423	en_US
dc.identifier.isbn	9781450348706	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126755
dc.description.abstract	© 2017 ACM. While help seeking has been extensively studied using self report survey data and models, there is a lack of content analysis techniques that can be directly applied to classify help seeking behaviour. In this preliminary work we propose a coding scheme which is then applied to an open dataset that we have created by carefully selecting sub groups from two popular discussion sites (Reddit and StackExchange). We then explore the possibility for automatically classifying help seeking behaviour using machine learning models. A preliminary model provides good initial results, suggesting that it may indeed be possible to construct student support systems that build off of an accurate classifier.	en_US
dc.relation.ispartof	ACM International Conference Proceeding Series	en_US
dc.relation.isbasedon	10.1145/3027385.3027442	en_US
dc.title	Classifying help seeking behaviour in online communities	en_US
dc.type	Conference Proceeding
utslib.for	0802 Computation Theory and Mathematics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)
pubs.organisational-group	/University of Technology Sydney/DVC (Teaching and Learning)/Connected Intelligence Centre
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2017 ACM. While help seeking has been extensively studied using self report survey data and models, there is a lack of content analysis techniques that can be directly applied to classify help seeking behaviour. In this preliminary work we propose a coding scheme which is then applied to an open dataset that we have created by carefully selecting sub groups from two popular discussion sites (Reddit and StackExchange). We then explore the possibility for automatically classifying help seeking behaviour using machine learning models. A preliminary model provides good initial results, suggesting that it may indeed be possible to construct student support systems that build off of an accurate classifier.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/126755