Public Opinion Polarization by Individual Revenue from the Social Preference Theory

Datos Bibliográficos

ID7531489
AutoresTinggui Chen (0000-0001-6061-2517, Zhejiang Gongshang University, autor de correspondencia), Qianqian Li (0000-0002-5462-3460, Zhejiang Gongshang University), Peihua Fu (0000-0001-5150-6464, Zhejiang Gongshang University), Jianjun Yang (0000-0001-6785-9627, University of North Georgia), Chonghuan Xu (0000-0001-9757-1915, Zhejiang Gongshang University), Guodong Cong (0000-0002-9819-1508, Zhejiang Gongshang University), Gongfa Li (0000-0002-2695-2742, Wuhan University of Science and Technology)
Año2020
Volumen17
Número3
Páginas946-946
Fecha de publicación2020-02-04
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17030946
PMID32033012
OpenAlexW3005488972
IdiomaEN
Citas recibidas5
Referencias citadas37

Social conflicts occur frequently duringthe social transition period and the polarization of public opinion happens occasionally. By introducing the social preference theory, the target of this paper is to reveal the micro-interaction mechanism of public opinion polarization. Firstly, we divide the social preferences of Internet users (network nodes) into three categories: egoistic, altruistic, and fair preferences, and adopt the revenue function to define the benefits obtained by individuals with different preferences among their interaction process so as to analyze their decision-making behaviors driven by the revenue. Secondly, the revenue function is used to judge the exit rules of nodes in a network, and then a dynamic network of spreading public opinionwith the node (individual) exit mechanism is built based on a BA scale-free network. Subsequently, the influences of different social preferences,as well as individual revenue on the effect of public opinionpolarization, are analyzed through simulation experiments. The simulation results show that(1) Different social preferences demonstrate different influences on the evolution of public opinions, (2) Individuals tend to interact with ones with different preferences, (3) The network with a single preference or a high aggregation is more likely to form public opinion polarization. Finally, the practicability and effectiveness of the proposed model are verified by a real case

Economics · Microeconomics · Polarization (electrochemistry · Political science · Preference · Public opinion · Revenue · Social media · Social network (sociolinguistics · The Internet · World Wide Web · Complex Network Analysis Techniques · Computer Science · Law · Opinion Dynamics and Social Influence · Psychology · Social Media and Politics · Social Psychology