scholarly journals Social Trust: Evaluating Node Influential Capability in Social Networks

10.5772/67021 ◽  
2017 ◽  
Author(s):  
Yap Hock Yeow ◽  
Lim Tong‐Ming
Keyword(s):  
Social Networks ◽  
Social Trust

Cyber Behavior and Social Capital

2012 ◽  
pp. 1063-1073
Author(s):  
Tetsuro Kobayashi
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Civic Engagement ◽  
Intellectual History ◽  
Technology Use ◽  
Local Community ◽  
Social Trust ◽  
Future Research ◽  
Mobile Phone Use ◽  
The Relationship

This chapter reviews historical development of research on cyber behavior and social capital, based on the definition by Robert D. Putnam, by focusing on the relationship between Information Communication and Technology use with social networks, civic engagement, as well as social trust. Firstly, the intellectual history of studies on cyber behavior and social capital is reviewed. Secondly, important past studies on the relationship between ICT use and social capital are focused from four perspectives: social networks, civic engagement, local community, and mobile phone use. Finally, future research directions are discussed from the perspective of comparative culture and rapidly evolving high-functionality smart phones.

scholarly journals Does Participation in Social Networks Foster Trust and Respect for Other People—Evidence from Poland

2019 ◽  
Vol 11 (6) ◽  
pp. 1733 ◽  
Author(s):  
Beata Łopaciuk-Gonczaryk
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Fixed Effects ◽  
Social Inclusion ◽  
Social Trust ◽  
Informal Networks ◽  
Generalized Trust ◽  
The Social ◽  
The Family

A shortage of social capital may hinder sustainable development. According to the “social capital dream” there is a virtuous circle between participation in social networks, trust, and cooperation. It is a promising idea for proponents of sustainability, as it is easier to promote participation than affect social norms. Participation may, however, lead to particularized and not generalized trust, which hinders social inclusion and undermines the idea of a sustainable society. The aim of this paper is to validate the role of participation in informal and formal social networks in enhancing social trust and respect towards others. The relevance of both strong and weak ties is considered. Fixed-effects modeling on three-wave data from a Polish social survey is utilized. An increase in generalized trust corresponds with an increase in the acquaintances network, a decrease in the family and friends network, and an increase in volunteering. A rise in expectations about the cooperativeness of others is enhanced by an increase in the family and friends network, and by volunteering. The lack of respect for some groups of people is not affected by participation in organizations and informal networks. Overall within-person heterogeneity is small, suggesting that possibilities for fostering moral trust by participation are limited.

Social networks and mental health: an egocentric perspective

2016 ◽  
Vol 21 (3) ◽  
pp. 161-173 ◽  
Author(s):  
Andrew Levula ◽  
Michael Harré
Keyword(s):  
Mental Health ◽  
Social Networks ◽  
Social Network ◽  
Social Trust ◽  
Explanatory Power ◽  
Information Criterion ◽  
Minor Role ◽  
Content Type ◽  
Multiple Regression Technique ◽  
Best Fit

Purpose The purpose of this paper is to examine the relationship between egocentric social networks and mental health (MH) outcomes. The authors aim to develop a theoretical framework for understanding this association and to test whether social network factors add any further explanatory power to MH outcomes. Design/methodology/approach Data for this study were drawn from the Household, Income and Labour Dynamics in Australia survey (n=14,756). The authors used hierarchical multiple regression technique to test this hypothesis and using the Akaike information criterion (AIC) the authors identified the best fit model. Findings The results of this study shows that social network measures do add considerable explanatory power to MH with social isolation (SI) having the highest influence (β=−0.198, p<0.001) followed by social connections (SCs) (β=0.141, p<0.001) and then social trust (ST) (β=0.071, p<0.001). The AIC best fit model included all the social network predictors however it excluded physical functioning which contributed very little. Originality/value This study shows that social network factors play a significant role in predicting MH outcomes. In particular, SI was a more significant predictor of MH than SC. However, ST played a relatively minor role in predicting MH scores. These findings have practical implications and applications for the design of policy initiatives aimed at improving MH outcomes.

Effects of Social Capital on Collective Action for Community Development

2018 ◽  
Vol 46 (6) ◽  
pp. 1011-1028
Author(s):  
Hyoung-Yong Kim
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Community Development ◽  
Collective Action ◽  
Social Trust ◽  
The United States ◽  
Community Level ◽  
Network Dynamic ◽  
Hierarchical Generalized Linear Model ◽  
Individual Level

I applied a multilevel and multidimensional approach to assess the effects of social capital on collective action. Using data from a national survey on social capital in the United States, I tested the effects of individual-level social networks (bonding, bridging, and linking), community-level social trust, and cross-level interaction on residents' collective actions toward community development. Results from the hierarchical generalized linear model generally supported the network dynamic model, showing that social networks are critical to the underprivileged who lack resource mobilization opportunities. Specifically, the bridging and linking qualities of social networks produced a strong influence on collective action more than any other variable. However, the effect of community-level social trust was small and did not explain the extent to which individual-level social networks exerted influence on collective action.

scholarly journals Delivering Localism: The Critical Role of Trust and Collaboration

2013 ◽  
Vol 12 (3) ◽  
pp. 343-354 ◽  
Author(s):  
Matt Padley
Keyword(s):  
Social Networks ◽  
Social Trust ◽  
Critical Role ◽  
Current Policy ◽  
The Relationship

Debate regarding the relationship between individual and state has been prominent throughout the current UK government's term in office and localism has come to occupy a central role in current policy. This article argues that attempts to deliver this localist vision should focus on the critical role of social trust and that this is best developed through collaboration. The actions identified as necessary for delivering decentralisation are considered alongside a review of the view of localism articulated in Coalition policy. The article then explores collaboration and co-production as a means of strengthening social networks and delivering the promises of localism.

scholarly journals PSYCHOLOGICAL MECHANISMS OF INFODEMIC AND PERSONAL ATTITUDES TO DISINFORMATION ABOUT COVID-19 IN SOCIAL MEDIA

2021 ◽  
pp. 37-64
Author(s):  
Е.А. Михеев ◽  
Т.А. Нестик
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Trust ◽  
Personal Characteristics ◽  
Political Orientation ◽  
Psychological Mechanisms ◽  
Personal Attitudes ◽  
Prosocial Attitudes ◽  
The Individual ◽  
Relationship Of

В статье рассматривается проблема психологических механизмов, влияющих на распространение «фейковых» новостей и дезинформирование в цифровой среде в период пандемии COVID-19. На основании результатов отечественных и зарубежных исследований анализируются манипулятивные технологии, связанные с использованием дезинформационных стратегий. Обращается внимание на эффекты рамки и гемофильности, методы дискредитации, создание конспирологических теорий, троллинг, поляризацию интернет-сообществ, подражание, а также повышение эмоциональности сообщений. Обсуждаются личностные характеристики пользователей, связанные со склонностью к распространению ложной информации в социальных сетях, в том числе фейковых данных конспирологической и политической направленности. Приводятся результаты эмпирического исследования (N=287), в котором выявлена связь отношения личности к дезинформации о COVID-19 в социальных сетях с просоциальными установками, самоэффективностью и уровнем социального доверия. Показано, что уровень стресса и фаталистические установки в отношении исхода пандемии снижают способность пользователей социальных сетей распознавать ложные сообщения о COVID-19. Установлено, что игнорирование дезинформации в социальных сетях как социальной проблемы связано с низкими социальным доверием и выраженностью тревоги по поводу пандемии и ее последствий. Предпосылками готовности личности к действиям для защиты себя и общества от дезинформации являются доверие к другим социальным группам, а также интерес к новостям о пандемии и готовность оказывать помощь заболевшим. Признание необходимости государственных мер по защите общества от дезинформации, а также готовность к отказу от свободы общения в социальных сетях связаны не только с просоциальными установками, но и с конспирологической ориентацией личности и низким доверием к людям. Misinformation in the digital environment during the COVID-19 pandemic. Based on the results of domestic and foreign studies, manipulative technologies associated with the use of disinformation strategies are analyzed. Attention is drawn to the effects of the frame and hemophilicity, methods of discrediting, creating conspiracy theories, trolling, polarizing Internet communities, imitation, as well as increasing the emotionality of messages. The personal characteristics of users associated with the propensity to spread false information in social networks, including fake information of a conspiracy and political orientation, are indicated. The results of an empirical study of predictors of the individual's attitude to misinformation about COVID-19 (N=287) are presented. The relationship of the individual's attitude to disinformation in social networks with prosocial attitudes, self-efficacy and the level of social trust is revealed. Stress levels and fatalistic attitudes about the outcome of the pandemic have been shown to reduce the ability of social media users to recognize false reports about COVID-19. It was found that ignoring disinformation in social networks as a social problem is associated with low social trust and the severity of anxiety about the pandemic and its consequences. Trust in other social groups, as well as an interest in news about the pandemic and a willingness to help the sick, are prerequisites for the individual's readiness to act for protection themselves and society from misinformation. The recognition of the need for state measures to protect society from disinformation, as well as the willingness to abandon the freedom of communication in social networks, are associated not only with prosocial attitudes, but also with the conspiracy orientation of the individual and low trust in people.

scholarly journals Determining Trust Based Examination on Social Networks for Hotel Recommendation

2019 ◽  
Vol 8 (9S4) ◽  
pp. 218-221 ◽  
Keyword(s):  
Social Networks ◽  
Social Trust ◽  
Research Work ◽  
Cold Start ◽  
Data Sparsity ◽  
Sparsity Problem ◽  
Implicit And Explicit ◽  
Fake Reviews ◽  
Trust Information

The objective of this research work is to enhance the performance of a novel recommendation site for tavern by mining the data about all kinds of hotel in websites. When we are about to view the rating of a hotel given by other people, we can’t rely accurately on it as there are many fake reviews. So we can overcome the problem by viewing only the ratings given by our friends and friends of friends in our trusted network. TrustSVD algorithm considered for ensuring this. By considering both the implicit and explicit opinions of ratings the predictions are made. The proposed technique is used to merge with social trust information thus from that we can get the trusted network. Thus, by using the trusted network reviews we can avoid the fake reviews. In case of cold start and data sparsity problem the friends of friends list is considered.

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