Details
| Original language | English |
|---|---|
| Pages (from-to) | 273-294 |
| Number of pages | 22 |
| Journal | Communication Research |
| Volume | 46 |
| Issue number | 2 |
| Early online date | 13 Jun 2017 |
| Publication status | Published - 1 Mar 2019 |
| Externally published | Yes |
Abstract
Scholarly attention to the nature and extent of negative campaigning in nonmajoritarian multiparty systems is steadily growing. While prior studies have made commendable progress in outlining the conditions and consequences of negative campaigning, they have typically disregarded the complex interdependencies of multiactor communication environments. The present study focuses on network-structural determinants of negative campaigning. It does so by relying on unique data from the 2013 Austrian federal election and using exponential random graph models to investigate patterns of mediated negative campaigning. We find that—above and beyond common determinants of negative campaigning—indicators of network structure are important predictors of campaign communication. This suggests that network models are crucial for accurately representing campaign communication patterns in multiparty systems.
Keywords
- exponential random graph models (ERGMs), multiparty systems, negative campaigning, network analysis
ASJC Scopus subject areas
- Arts and Humanities(all)
- Language and Linguistics
- Social Sciences(all)
- Communication
- Social Sciences(all)
- Linguistics and Language
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In: Communication Research, Vol. 46, No. 2, 01.03.2019, p. 273-294.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A network model of negative campaigning
T2 - The structure and determinants of negative campaigning in multiparty systems
AU - Song, Hyunjin
AU - Nyhuis, Dominic
AU - Boomgaarden, Hajo
N1 - Funding Information: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is conducted under the auspices of the Austrian National Election Study (AUTNES), a National Research Network (NFN) sponsored by the Austrian Science Fund (FWF; S10908-G11).
PY - 2019/3/1
Y1 - 2019/3/1
N2 - Scholarly attention to the nature and extent of negative campaigning in nonmajoritarian multiparty systems is steadily growing. While prior studies have made commendable progress in outlining the conditions and consequences of negative campaigning, they have typically disregarded the complex interdependencies of multiactor communication environments. The present study focuses on network-structural determinants of negative campaigning. It does so by relying on unique data from the 2013 Austrian federal election and using exponential random graph models to investigate patterns of mediated negative campaigning. We find that—above and beyond common determinants of negative campaigning—indicators of network structure are important predictors of campaign communication. This suggests that network models are crucial for accurately representing campaign communication patterns in multiparty systems.
AB - Scholarly attention to the nature and extent of negative campaigning in nonmajoritarian multiparty systems is steadily growing. While prior studies have made commendable progress in outlining the conditions and consequences of negative campaigning, they have typically disregarded the complex interdependencies of multiactor communication environments. The present study focuses on network-structural determinants of negative campaigning. It does so by relying on unique data from the 2013 Austrian federal election and using exponential random graph models to investigate patterns of mediated negative campaigning. We find that—above and beyond common determinants of negative campaigning—indicators of network structure are important predictors of campaign communication. This suggests that network models are crucial for accurately representing campaign communication patterns in multiparty systems.
KW - exponential random graph models (ERGMs)
KW - multiparty systems
KW - negative campaigning
KW - network analysis
UR - http://www.scopus.com/inward/record.url?scp=85061634706&partnerID=8YFLogxK
U2 - 10.1177/0093650217712596
DO - 10.1177/0093650217712596
M3 - Article
AN - SCOPUS:85061634706
VL - 46
SP - 273
EP - 294
JO - Communication Research
JF - Communication Research
SN - 0093-6502
IS - 2
ER -