#ausvotes Mark Two : Twitter in the 2013 Australian Federal Election


Autoria(s): Bruns, Axel; Highfield, Tim; Sauter, Theresa
Data(s)

2013

Resumo

In this paper, we explore the use of Twitter as a political tool in the 2013 Australian Federal Election. We employ a ‘big data’ approach that combines qualitative and quantitative methods of analysis. By tracking the accounts of politicians and parties, and the tweeting activity to and around these accounts, as well as conversations on particular hashtagged topics, we gain a comprehensive insight into the ways in which Twitter is employed in the campaigning strategies of different parties. We compare and contrast the use of Twitter by political actors with its adoption by citizens as a tool for political conversation and participation. Our study provides an important longitudinal counterpoint, and opportunity for comparison, to the use of Twitter in previous Australian federal and state elections. Furthermore, we offer innovative methodologies for data gathering and evaluation that can contribute to the comparative study of the political uses of Twitter across diverse national media and political systems.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/69877/

Publicador

Association of Internet Researchers

Relação

http://eprints.qut.edu.au/69877/1/%23ausvotes_Mark_Two_-_Twitter_in_the_2013_Australian_Federal_Election_%28final%29.pdf

Bruns, Axel, Highfield, Tim, & Sauter, Theresa (2013) #ausvotes Mark Two : Twitter in the 2013 Australian Federal Election. In Selected Papers of Internet Research, Association of Internet Researchers, Denver, CO.

Direitos

Copyright 2013 The Author(s)

This article is ©2013 Authors, and licensed under CC BY-NC-ND.

Fonte

ARC Centre of Excellence for Creative Industries and Innovation; Creative Industries Faculty; School of Media, Entertainment & Creative Arts

Palavras-Chave #200101 Communication Studies #200102 Communication Technology and Digital Media Studies #200104 Media Studies #Twitter #politics #Australia #elections #big data
Tipo

Conference Paper