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Language innovation and change in on-line social networks

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Language innovation and change in on-line social networks. / Kershaw, Daniel; Rowe, Matthew Charles; Stacey, Patrick Keith.

HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media. New York : ACM, 2015. p. 311-314.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Kershaw, D, Rowe, MC & Stacey, PK 2015, Language innovation and change in on-line social networks. in HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media. ACM, New York, pp. 311-314. https://doi.org/10.1145/2700171.2804449

APA

Kershaw, D., Rowe, M. C., & Stacey, P. K. (2015). Language innovation and change in on-line social networks. In HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media (pp. 311-314). ACM. https://doi.org/10.1145/2700171.2804449

Vancouver

Kershaw D, Rowe MC, Stacey PK. Language innovation and change in on-line social networks. In HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media. New York: ACM. 2015. p. 311-314 https://doi.org/10.1145/2700171.2804449

Author

Kershaw, Daniel ; Rowe, Matthew Charles ; Stacey, Patrick Keith. / Language innovation and change in on-line social networks. HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media. New York : ACM, 2015. pp. 311-314

Bibtex

@inproceedings{8b24568c5e98491685103ebb5d235ada,
title = "Language innovation and change in on-line social networks",
abstract = "Language is fundamental to human communication - 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 appearing in every day life with the recent induction of `lol' and `rofl' into modern dictionaries. Changes and varying forms of language pose challenges to both academics and people in business when attempting to assess 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 philosophically frame this work by drawing on structuration theory which helps us structure our analysis of the dynamics of language (re)production - i.e. by the agent (user), the social structure and their interplay. We draw on state-of-the-art work and methods, including the development of neural nets to analyse language usage, along with network and community classification too uncover social structures within language. Preliminary results have identified statistically significant innovations usage across communities across a number of OSN's, this was done by operationalizing known linguistic models of innovation acceptance.",
keywords = "Language, Change, Social network",
author = "Daniel Kershaw and Rowe, {Matthew Charles} and Stacey, {Patrick Keith}",
year = "2015",
month = sep,
day = "1",
doi = "10.1145/2700171.2804449",
language = "English",
isbn = "9781450333955",
pages = "311--314",
booktitle = "HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Language innovation and change in on-line social networks

AU - Kershaw, Daniel

AU - Rowe, Matthew Charles

AU - Stacey, Patrick Keith

PY - 2015/9/1

Y1 - 2015/9/1

N2 - Language is fundamental to human communication - 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 appearing in every day life with the recent induction of `lol' and `rofl' into modern dictionaries. Changes and varying forms of language pose challenges to both academics and people in business when attempting to assess 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 philosophically frame this work by drawing on structuration theory which helps us structure our analysis of the dynamics of language (re)production - i.e. by the agent (user), the social structure and their interplay. We draw on state-of-the-art work and methods, including the development of neural nets to analyse language usage, along with network and community classification too uncover social structures within language. Preliminary results have identified statistically significant innovations usage across communities across a number of OSN's, this was done by operationalizing known linguistic models of innovation acceptance.

AB - Language is fundamental to human communication - 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 appearing in every day life with the recent induction of `lol' and `rofl' into modern dictionaries. Changes and varying forms of language pose challenges to both academics and people in business when attempting to assess 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 philosophically frame this work by drawing on structuration theory which helps us structure our analysis of the dynamics of language (re)production - i.e. by the agent (user), the social structure and their interplay. We draw on state-of-the-art work and methods, including the development of neural nets to analyse language usage, along with network and community classification too uncover social structures within language. Preliminary results have identified statistically significant innovations usage across communities across a number of OSN's, this was done by operationalizing known linguistic models of innovation acceptance.

KW - Language

KW - Change

KW - Social network

U2 - 10.1145/2700171.2804449

DO - 10.1145/2700171.2804449

M3 - Conference contribution/Paper

SN - 9781450333955

SP - 311

EP - 314

BT - HT '15 Proceedings of the 26th ACM Conference on Hypertext & Social Media

PB - ACM

CY - New York

ER -