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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/22662

Title: Language innovation and change in on-line social networks
Authors: Kershaw, Daniel
Rowe, Matthew
Stacey, Patrick K.
Keywords: OSN
Language
Evolution
Innovation
Change
Issue Date: 2015
Publisher: © ACM
Citation: KERSHAW, D., ROWE, M. and STACEY, P.K., 2015. Language innovation and change in on-line social networks. IN: Proceedings of the 26th ACM Conference on Hypertext & Social Media, (HT'15), Guzelyurt, North Cyprus, Sept 1-4th., pp. 311-314.
Abstract: Language is fundamental to human communication, though throughout the course of history language has constantly evolved. This can currently be seen in the changing forms of colloquial language in various on-line social networks (OSN's). These innovations in language are even making it into every day life with the recent inclusion of `lol' and `ro' into modern dictionaries. Changes and varying forms of language pose challenges to both academics and people in business when attempting to asses and communicate with different communities. In this Ph.D, we aim to forecast online language change through the use of predictive and descriptive methodologies. Through using data sets mined from a number of OSNs, we aim to develop generalizable models and theories for assessing and predicting such language changes. We frame this work in structuration theory will allow for a structured analysis of the agent (user), the social structure and the dynamics between them. We draw on state of the art work and methods, including the development of neural nets to analysis language use and network and community classification to uncover social structures. Preliminary results have identified statistically significant innovations usage across communities across a number of OSN's, this was done though operationlizing known linguistic models of innovation acceptance.
Description: © ACM 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 26th ACM Conference on Hypertext & Social Media, (HT'15), Guzelyurt, North Cyprus, Sept 1-4th., http://dx.doi.org/10.1145/2700171.2804449
Version: Accepted for publication
DOI: 10.1145/2700171.2804449
URI: https://dspace.lboro.ac.uk/2134/22662
Publisher Link: http://dx.doi.org/10.1145/2700171.2804449
Appears in Collections:Conference Papers (Business School)

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