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Journal article 734 views

Matrix Revolutions? An analysis of party organization and ICT

Matthew Wall Orcid Logo, Maria Laura Sudulich

Information, Communication & Society, Volume: 13, Issue: 4, Pages: 574 - 591

Swansea University Author: Matthew Wall Orcid Logo

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Abstract

his article investigates the characteristics of political parties' websites in the Republic of Ireland and seeks to evaluate whether parties' organizational structures influence the manner in which they present themselves online. Ireland is an interesting test case for the evolution of pol...

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Published in: Information, Communication & Society
ISSN: 1369-118X 1468-4462
Published: 2010
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa13638
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Abstract: his article investigates the characteristics of political parties' websites in the Republic of Ireland and seeks to evaluate whether parties' organizational structures influence the manner in which they present themselves online. Ireland is an interesting test case for the evolution of politicized internet usage due to the large increase that has taken place in Information and Communications Technology availability and usage in the country over the past decade. We argue that features of internal party organization affect the nature of internet usage across political parties. Specifically, we hypothesize that parties with highly centralized and hierarchical organizational structures will be less likely to have interactive features on their websites than parties with less centralized organizational structures. The dependent variable in this study is the extent of interactive content on parties' websites and is constructed through an empirical analysis of parties' sites using a widely used coding scheme. We then measure Irish political parties' internal organizations employing Janda's (1980) scale of centralization of power, and we use this measure as an independent variable. We test for the hypothesized relationship between the dependent and independent variables, employing non-parametric statistical techniques.
College: College of Arts and Humanities
Issue: 4
Start Page: 574
End Page: 591