SOAS Research Online

A Free Database of the Latest Research by SOAS Academics and PhD Students

[skip to content]

Nam, Yoonjae, Lee, Yenn and Park, Han Woo (2015) 'Measuring web ecology across Facebook, Twitter, blogs and online news: 2012 general election in South Korea.' Quality & Quantity, 49 (2). pp. 675-689.

Full text not available from this repository.

Abstract

This study aimed to provide an empirical and analytical account of online information flow and web ecology in four platforms around the 2012 general election in South Korea. The study quantitatively examined the interrelationship of web ecology among relevant platforms—including online news, blogs, Twitter and Facebook—during election campaigns. In order to quantify the current political situations, this study employed network analysis and the model fitting method with co-occurrence web visibility data of political parties and their leaders in four platforms. The findings demonstrated to what extent web ecologies on four different online platforms during the given election reflect the country’s political situation. Comparing network centralizations across platforms, results showed that online news was the least biased media and Twitter was the most biased with the highest centralization scores. Although both the ruling party and the major opposition party—including the leaders of those two parties—had higher degree centrality scores than minor parties and their leaders in all platforms, some distinct features were observed in Twitter and Facebook due to their attributes. In addition, regressions and their residuals confirmed that web ecologies in four platforms, in terms of degree centrality, had been linearly expanded over time and showed their individual characteristics.

Item Type: Journal Article
SOAS Departments & Centres: Regional Centres and Institutes > Centre of Korean Studies
Legacy Departments > Student and Registry Services
ISSN: 00335177
DOI (Digital Object Identifier): https://doi.org/10.1007/s11135-014-0016-9
Date Deposited: 13 Apr 2015 14:12
URI: https://eprints.soas.ac.uk/id/eprint/19734

Altmetric Data

Statistics

Download activity - last 12 monthsShow export options
Downloads since deposit
6 month trend
0Downloads
6 month trend
282Hits
Accesses by country - last 12 monthsShow export options
Accesses by referrer - last 12 monthsShow export options

Repository staff only

Edit Item Edit Item