Microanalysis of online data: The methodological development of “digital CA”

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Microanalysis of online data : The methodological development of “digital CA”. / Giles, David; Stommel, Wyke; Paulus, Trena; Lester, Jessica ; Reed, Darren.

In: Discourse, Context, and Media, Vol. 7, 03.2015, p. 45-51.

Research output: Contribution to journalArticlepeer-review

Harvard

Giles, D, Stommel, W, Paulus, T, Lester, J & Reed, D 2015, 'Microanalysis of online data: The methodological development of “digital CA”', Discourse, Context, and Media, vol. 7, pp. 45-51. https://doi.org/10.1016/j.dcm.2014.12.002

APA

Giles, D., Stommel, W., Paulus, T., Lester, J., & Reed, D. (2015). Microanalysis of online data: The methodological development of “digital CA”. Discourse, Context, and Media, 7, 45-51. https://doi.org/10.1016/j.dcm.2014.12.002

Vancouver

Giles D, Stommel W, Paulus T, Lester J, Reed D. Microanalysis of online data: The methodological development of “digital CA”. Discourse, Context, and Media. 2015 Mar;7:45-51. https://doi.org/10.1016/j.dcm.2014.12.002

Author

Giles, David ; Stommel, Wyke ; Paulus, Trena ; Lester, Jessica ; Reed, Darren. / Microanalysis of online data : The methodological development of “digital CA”. In: Discourse, Context, and Media. 2015 ; Vol. 7. pp. 45-51.

Bibtex - Download

@article{29ade2f719c5430e80555af2a65ae4ce,
title = "Microanalysis of online data: The methodological development of “digital CA”",
abstract = "This paper introduces the work of the MOOD (Microanalysis Of Online Data) network, an interdisciplinary association of academic researchers exploring ways of conducting close qualitative analyses of online interaction. Despite the fact that much online interaction meets the criteria for {\textquoteleft}conversation{\textquoteright}, conversation analysis (CA) has only recently begun to grow and flourish as a methodology for analysing the overwhelming quantity of material that in many cases sits in archive form, visible to millions, on the Internet. We discuss the development of methods that are inherently suited for subjecting online interaction to the kind of rigorous analysis that conversation analysts have applied to talk of all kinds for several decades. We go on to explore the fundamental challenges that online data pose for CA, the value of many CA techniques for online analysis, and the possibilities of developing bespoke modes of analysis that are crafted for use with specific forms of online data (e.g. {\textquoteleft}tweets{\textquoteright} on Twitter).",
keywords = "Online interaction, Conversation analysis, Digital media, Computer-mediated communication, Online discussion",
author = "David Giles and Wyke Stommel and Trena Paulus and Jessica Lester and Darren Reed",
year = "2015",
month = mar,
doi = "10.1016/j.dcm.2014.12.002",
language = "English",
volume = "7",
pages = "45--51",
journal = "Discourse, Context, and Media",
issn = "2211-6958",
publisher = "Elsevier BV",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Microanalysis of online data

T2 - The methodological development of “digital CA”

AU - Giles, David

AU - Stommel, Wyke

AU - Paulus, Trena

AU - Lester, Jessica

AU - Reed, Darren

PY - 2015/3

Y1 - 2015/3

N2 - This paper introduces the work of the MOOD (Microanalysis Of Online Data) network, an interdisciplinary association of academic researchers exploring ways of conducting close qualitative analyses of online interaction. Despite the fact that much online interaction meets the criteria for ‘conversation’, conversation analysis (CA) has only recently begun to grow and flourish as a methodology for analysing the overwhelming quantity of material that in many cases sits in archive form, visible to millions, on the Internet. We discuss the development of methods that are inherently suited for subjecting online interaction to the kind of rigorous analysis that conversation analysts have applied to talk of all kinds for several decades. We go on to explore the fundamental challenges that online data pose for CA, the value of many CA techniques for online analysis, and the possibilities of developing bespoke modes of analysis that are crafted for use with specific forms of online data (e.g. ‘tweets’ on Twitter).

AB - This paper introduces the work of the MOOD (Microanalysis Of Online Data) network, an interdisciplinary association of academic researchers exploring ways of conducting close qualitative analyses of online interaction. Despite the fact that much online interaction meets the criteria for ‘conversation’, conversation analysis (CA) has only recently begun to grow and flourish as a methodology for analysing the overwhelming quantity of material that in many cases sits in archive form, visible to millions, on the Internet. We discuss the development of methods that are inherently suited for subjecting online interaction to the kind of rigorous analysis that conversation analysts have applied to talk of all kinds for several decades. We go on to explore the fundamental challenges that online data pose for CA, the value of many CA techniques for online analysis, and the possibilities of developing bespoke modes of analysis that are crafted for use with specific forms of online data (e.g. ‘tweets’ on Twitter).

KW - Online interaction

KW - Conversation analysis

KW - Digital media

KW - Computer-mediated communication

KW - Online discussion

U2 - 10.1016/j.dcm.2014.12.002

DO - 10.1016/j.dcm.2014.12.002

M3 - Article

VL - 7

SP - 45

EP - 51

JO - Discourse, Context, and Media

JF - Discourse, Context, and Media

SN - 2211-6958

ER -