Using conversation analysis for examining social media interactions

Matteo Farina

doi:10.3233/FAIA200779

Using conversation analysis for examining social media interactions

Matteo Farina

College of Humanities, Arts and Social Sciences

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

135 Downloads (Pure)

Abstract

Social media research has grown exponentially in recent years. However, it seems that to date only a few studies have applied Conversation Analysis (CA) to study social media interactions. The aim of this paper is to show the benefits of using CA for the analysis of this type of social interactions.

Original language	English
Title of host publication	Machine Learning and Artificial Intelligence
Subtitle of host publication	Proceedings of MLIS 2020
Editors	Antonio J. Tallon-Ballesteros, Chi-Hua Chen
Publisher	IOS Press
Pages	172-177
Number of pages	6
ISBN (Electronic)	9781643681375
ISBN (Print)	9781643681368
DOIs	https://doi.org/10.3233/FAIA200779
Publication status	Published - 2020
Event	2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 - Virtual, Online, Korea, Republic of Duration: 25 Oct 2020 → 28 Oct 2020

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	332
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020
Country/Territory	Korea, Republic of
City	Virtual, Online
Period	25/10/20 → 28/10/20

Keywords

Conversation Analysis (CA)
Facebook
Social media research

Access to Document

10.3233/FAIA200779Licence: CC BY-NC

Published versionFinal published version, 360 KBLicence: CC BY-NC

Cite this

@inproceedings{bbe24d79fdf64d20b09386fa026d74f1,

title = "Using conversation analysis for examining social media interactions",

abstract = "Social media research has grown exponentially in recent years. However, it seems that to date only a few studies have applied Conversation Analysis (CA) to study social media interactions. The aim of this paper is to show the benefits of using CA for the analysis of this type of social interactions.",

keywords = "Conversation Analysis (CA), Facebook, Social media research",

author = "Matteo Farina",

year = "2020",

doi = "10.3233/FAIA200779",

language = "English",

isbn = "9781643681368",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "172--177",

editor = "Tallon-Ballesteros, {Antonio J.} and Chi-Hua Chen",

booktitle = "Machine Learning and Artificial Intelligence",

address = "United States",

note = "2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020 ; Conference date: 25-10-2020 Through 28-10-2020",

}

Farina, M 2020, Using conversation analysis for examining social media interactions. in AJ Tallon-Ballesteros & C-H Chen (eds), Machine Learning and Artificial Intelligence: Proceedings of MLIS 2020. Frontiers in Artificial Intelligence and Applications, vol. 332, IOS Press, pp. 172-177, 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020, Virtual, Online, Korea, Republic of, 25/10/20. https://doi.org/10.3233/FAIA200779

Using conversation analysis for examining social media interactions. / Farina, Matteo.
Machine Learning and Artificial Intelligence: Proceedings of MLIS 2020. ed. / Antonio J. Tallon-Ballesteros; Chi-Hua Chen. IOS Press, 2020. p. 172-177 (Frontiers in Artificial Intelligence and Applications; Vol. 332).

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

TY - GEN

T1 - Using conversation analysis for examining social media interactions

AU - Farina, Matteo

PY - 2020

Y1 - 2020

N2 - Social media research has grown exponentially in recent years. However, it seems that to date only a few studies have applied Conversation Analysis (CA) to study social media interactions. The aim of this paper is to show the benefits of using CA for the analysis of this type of social interactions.

AB - Social media research has grown exponentially in recent years. However, it seems that to date only a few studies have applied Conversation Analysis (CA) to study social media interactions. The aim of this paper is to show the benefits of using CA for the analysis of this type of social interactions.

KW - Conversation Analysis (CA)

KW - Facebook

KW - Social media research

UR - http://www.scopus.com/inward/record.url?scp=85098661123&partnerID=8YFLogxK

U2 - 10.3233/FAIA200779

DO - 10.3233/FAIA200779

M3 - Conference contribution

AN - SCOPUS:85098661123

SN - 9781643681368

T3 - Frontiers in Artificial Intelligence and Applications

SP - 172

EP - 177

BT - Machine Learning and Artificial Intelligence

A2 - Tallon-Ballesteros, Antonio J.

A2 - Chen, Chi-Hua

PB - IOS Press

T2 - 2020 International Conference on Machine Learning and Intelligent Systems, MLIS 2020

Y2 - 25 October 2020 through 28 October 2020

ER -

Using conversation analysis for examining social media interactions

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this