Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process

Fionn Murtagh, Monica Pianosi, Richard Bull

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Our primary objective is evaluation of quality of process. This is addressed through semantic mapping of process. We note how this is complementary to the primacy of output results or products. We use goal-oriented discourse as a case study. We draw benefit from how social and political theorist, Jürgen Habermas, uses what was termed “communicative action”. An orientation in Habermas’s work, that we use, is analysis of communication or discourse. For this, we take Twitter social media. In our case study, we map the discourse semantically, using the correspondence analysis platform for such latent semantic analysis. This permits qualitative and quantitative analytics. Our case study is a set of eight carefully planned Twitter campaigns relating to environmental issues. The aim of these campaigns was to increase environmental awareness and behaviour. Each campaign was launched by an initiating tweet. Using the data gathered in these Twitter campaigns, we sought to map them, and hence to track the flow of the Twitter discourse. This mapping was achieved through semantic embedding. The semantic distance between an initiating act and the aggregate semantic outcome is used as a measure of process effectiveness.

LanguageEnglish
Pages1675-1694
Number of pages20
JournalQuality and Quantity
Volume50
Issue number4
Early online date2 Jun 2015
DOIs
Publication statusPublished - 1 Jul 2016
Externally publishedYes

Fingerprint

communicative action
twitter
semantics
campaign
discourse
Latent Semantic Analysis
Correspondence Analysis
Social Media
correspondence analysis
social media
Semantics
Discourse
Output
Evaluation
communication
evaluation

Cite this

@article{c92b312e5c1f4378ada155a1460e143a,
title = "Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process",
abstract = "Our primary objective is evaluation of quality of process. This is addressed through semantic mapping of process. We note how this is complementary to the primacy of output results or products. We use goal-oriented discourse as a case study. We draw benefit from how social and political theorist, J{\"u}rgen Habermas, uses what was termed “communicative action”. An orientation in Habermas’s work, that we use, is analysis of communication or discourse. For this, we take Twitter social media. In our case study, we map the discourse semantically, using the correspondence analysis platform for such latent semantic analysis. This permits qualitative and quantitative analytics. Our case study is a set of eight carefully planned Twitter campaigns relating to environmental issues. The aim of these campaigns was to increase environmental awareness and behaviour. Each campaign was launched by an initiating tweet. Using the data gathered in these Twitter campaigns, we sought to map them, and hence to track the flow of the Twitter discourse. This mapping was achieved through semantic embedding. The semantic distance between an initiating act and the aggregate semantic outcome is used as a measure of process effectiveness.",
keywords = "Correspondence analysis, Multivariate data analysis, Semantics, Social media, Text analysis, Visualization",
author = "Fionn Murtagh and Monica Pianosi and Richard Bull",
year = "2016",
month = "7",
day = "1",
doi = "10.1007/s11135-015-0228-7",
language = "English",
volume = "50",
pages = "1675--1694",
journal = "Quality and Quantity",
issn = "0033-5177",
publisher = "Springer Netherlands",
number = "4",

}

Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process. / Murtagh, Fionn; Pianosi, Monica; Bull, Richard.

In: Quality and Quantity, Vol. 50, No. 4, 01.07.2016, p. 1675-1694.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Semantic mapping of discourse and activity, using Habermas’s theory of communicative action to analyze process

AU - Murtagh, Fionn

AU - Pianosi, Monica

AU - Bull, Richard

PY - 2016/7/1

Y1 - 2016/7/1

N2 - Our primary objective is evaluation of quality of process. This is addressed through semantic mapping of process. We note how this is complementary to the primacy of output results or products. We use goal-oriented discourse as a case study. We draw benefit from how social and political theorist, Jürgen Habermas, uses what was termed “communicative action”. An orientation in Habermas’s work, that we use, is analysis of communication or discourse. For this, we take Twitter social media. In our case study, we map the discourse semantically, using the correspondence analysis platform for such latent semantic analysis. This permits qualitative and quantitative analytics. Our case study is a set of eight carefully planned Twitter campaigns relating to environmental issues. The aim of these campaigns was to increase environmental awareness and behaviour. Each campaign was launched by an initiating tweet. Using the data gathered in these Twitter campaigns, we sought to map them, and hence to track the flow of the Twitter discourse. This mapping was achieved through semantic embedding. The semantic distance between an initiating act and the aggregate semantic outcome is used as a measure of process effectiveness.

AB - Our primary objective is evaluation of quality of process. This is addressed through semantic mapping of process. We note how this is complementary to the primacy of output results or products. We use goal-oriented discourse as a case study. We draw benefit from how social and political theorist, Jürgen Habermas, uses what was termed “communicative action”. An orientation in Habermas’s work, that we use, is analysis of communication or discourse. For this, we take Twitter social media. In our case study, we map the discourse semantically, using the correspondence analysis platform for such latent semantic analysis. This permits qualitative and quantitative analytics. Our case study is a set of eight carefully planned Twitter campaigns relating to environmental issues. The aim of these campaigns was to increase environmental awareness and behaviour. Each campaign was launched by an initiating tweet. Using the data gathered in these Twitter campaigns, we sought to map them, and hence to track the flow of the Twitter discourse. This mapping was achieved through semantic embedding. The semantic distance between an initiating act and the aggregate semantic outcome is used as a measure of process effectiveness.

KW - Correspondence analysis

KW - Multivariate data analysis

KW - Semantics

KW - Social media

KW - Text analysis

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=84930317337&partnerID=8YFLogxK

U2 - 10.1007/s11135-015-0228-7

DO - 10.1007/s11135-015-0228-7

M3 - Article

VL - 50

SP - 1675

EP - 1694

JO - Quality and Quantity

T2 - Quality and Quantity

JF - Quality and Quantity

SN - 0033-5177

IS - 4

ER -