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 -