Social networks of trust based on social values: An explanation of curvilinear relationships between generalized trust and democracy

Sudo, Naoki

doi:10.1080/0022250x.2017.1387857

Cited by 2 publications

(1 citation statement)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…People also identify themselves with concepts such as anti-vaccination ( American Association for the Advancement of Science, 2013 ) or pro-vegetarian. Trust in such cases can be assessed by building identification models ( Sudo, 2017 ; Bielicki, 2021 ).…”

Section: Related Workmentioning

confidence: 99%

Digital society social interactions and trust analysis model

Kumar

Malik

Batra

et al. 2022

PeerJ Computer Science

View full text Add to dashboard Cite

During unprecedented events such as COVID-19, the fabric of society comes under stress and all stakeholders want to increase the predictability of the future and reduce the ongoing uncertainties. In this research, an attempt has been made to model the situation in which the sentiment “trust” is computed so as to map the behaviour of society. However, technically, the purpose of this research is not to determine the “degree of trust in society” as a consequence of some specific emotions or sentiments that the community is experiencing at any particular time. This project is concerned with the construction of a computational model that can assist in improving our understanding of the dynamics of digital societies, particularly when it comes to the attitude referred to as “trust.” The digital society trust analysis (D.S.T.A.) model that has been provided is simple to configure and simple to implement. It includes many previous models, such as standing models, Schelling’s model of segregation, and tipping points, in order to construct models for understanding the dynamics of a society reeling under the effects of a COVID-19 pandemic, misinformation, fake news, and other sentiments that impact the behaviour of the different groups.

show abstract

Section: Related Workmentioning

confidence: 99%