Evidence map›Paper›PMID 32033012›Full record

ArticleInternational journal of environmental research and public health2020

Public Opinion Polarization by Individual Revenue from the Social Preference Theory.

Tinggui Chen, Qianqian Li, Peihua Fu, Jianjun Yang, Chonghuan Xu, Guodong Cong, Gongfa Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Modeling Multidimensional Public Opinion Polarization Process under the Context of Derived Topics.International journal of environmental research and public health · 2021
    Article
  7. Modeling Network Public Opinion Propagation with the Consideration of Individual Emotions.International journal of environmental research and public health · 2020
    Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tinggui ChenSchool of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou 310018, China.
Qianqian LiSchool of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Peihua FuSchool of Management and E-Business, Zhejiang Gongshang University, Hangzhou 310018, China.
Jianjun YangDepartment of Computer Science and Information Systems, University of North Georgia, Oakwood, GA 30566, USA.
Chonghuan XuSchool of Business Administration, Zhejiang Gongshang University, Hangzhou 310018, China.
Guodong CongSchool of Tourism and Urban-Rural Planning, Zhejiang Gongshang University 310018, Hangzhou, China.
Gongfa LiHubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Models, PsychologicalPublic OpinionSocial TheoryAltruismDecision MakingHumansindividual interactionindividual revenuepublic opinion polarizationsocial preference

Identifiers

PMID32033012
PMCPMC7037295

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.