scholarly journals Challenging the Status Quo through Social Influence: Changes in Sustainable Consumption through the Influence of Social Networks

2021 ◽  
Vol 13 (10) ◽  
pp. 5513
Author(s):  
Iljana Schubert ◽  
Judith I. M. de Groot ◽  
Adrian C. Newton

This study examines the influence of social network members (versus strangers) on sustainable food consumption choices to investigate how social influence can challenge the status quo in unsustainable consumption practices. We hypothesized that changes to individual consumption practices could be achieved by revealing ‘invisible’ descriptive and injunctive social norms. We further hypothesized that it matters who reveals these norms, meaning that social network members expressing their norms will have a stronger influence on other’s consumption choices than if these norms are expressed by strangers. We tested these hypotheses in a field experiment (N = 134), where participants discussed previous sustainable food consumption (revealing descriptive norms) and its importance (revealing injunctive norms) with either a stranger or social network member. We measured actual sustainable food consumption through the extent to which participants chose organic over non-organic consumables during the debrief. Findings showed that revealed injunctive norms significantly influenced food consumption, more so than revealed descriptive norms. We also found that this influence was stronger for social network members compared to strangers. Implications and further research directions in relation to how social networks can be used to evoke sustainable social change are discussed.

Econometrica ◽  
2020 ◽  
Vol 88 (2) ◽  
pp. 569-594
Author(s):  
Itai Arieli ◽  
Yakov Babichenko ◽  
Ron Peretz ◽  
H. Peyton Young

New ways of doing things often get started through the actions of a few innovators, then diffuse rapidly as more and more people come into contact with prior adopters in their social network. Much of the literature focuses on the speed of diffusion as a function of the network topology. In practice, the topology may not be known with any precision, and it is constantly in flux as links are formed and severed. Here, we establish an upper bound on the expected waiting time until a given proportion of the population has adopted that holds independently of the network structure. Kreindler and Young (2014) demonstrated such a bound for regular networks when agents choose between two options: the innovation and the status quo. Our bound holds for directed and undirected networks of arbitrary size and degree distribution, and for multiple competing innovations with different payoffs.


2016 ◽  
Vol 37 (1) ◽  
pp. 1-26 ◽  
Author(s):  
Frédéric Varone ◽  
Karin Ingold ◽  
Charlotte Jourdain

AbstractThis study investigates the conditions under which pro-status quo groups increase their advocacy success during an entire policymaking process. It scrutinises whether pro-status quo defenders who are involved in multiple institutional venues and who join many coalitions of interest groups are able to achieve their policy preferences. A case study focussing on the regulation of stem cell research in California traces the policymaking process and the related advocacy activities of interest groups in legislative, administrative, judicial and direct democratic venues. The empirical results, which are based on a formal social network analysis, reveal that very few groups are multivenue players and members of several coalitions. In addition, occupying a central network position is insufficient for the pro-status quo groups to improve their advocacy success.


Apertura ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 54-69
Author(s):  
Nataly Andrea Guiñez-Cabrera ◽  
◽  
Katherine Mansilla-Obando ◽  

One of the most used communication tools is WhatsApp, which increased its use due to covid-19, along with other social networks. In the educational field, students are also increasingly adopting this application for academic purposes from their computers called WhatsApp Web. However, more knowledge is needed about the factors that influence the acceptance and use of this social network. Therefore, the purpose of this study is to understand from the perspective of students the factors of acceptance and use of WhatsApp Web for academic purposes during the covid-19 pandemic. A qualitative methodology was used to achieve this objective, through fourteen semistructural interviews with students from various disciplines and universities. The findings of this study were analyzed with the unified theory of acceptance and use of technology (UTAUT). Where a fifth factor teamworkwas incorporated, being additional to the factors already existing in this theory (the expectation of performance, the expectation of effort, the social influence and the facilitating conditions). This study provides new insights as it is a pioneering research that UTAUT uses to interpret the acceptance and use of WhatsApp Web for academic purposes.


Author(s):  
Y. Helan Mettilda ◽  
R. Anbuselvi

Psychological theories propose that emotion represents the status of mind and natural responses of one’s cognitive system. Emotions are a difficult state of feeling that results in physical and psychological changes that power our actions. In this paper, we study an interesting problem of emotion infection in social networks.  In this paper, we study a different interesting problem of emotion influence in social networks. In particular, by employing an image social network as the basis of our study, we try to unveil how users’ emotional statuses influence each other and how users’ positions in the social network affect their influential strength on emotion in different papers.  We also find out several interesting phenomena. For example, the possibility that a user feels happy is about linear to the number of friends who are also happy; but taking a nearer look, the pleasure chance is super linear to the number of happy friends who act as opinion leaders in the network and sub linear in the number of happy friends who span structural holes. This offers a new chance to understand the basic mechanism of emotional contagion in online social networks.


2020 ◽  
Vol 31 (4) ◽  
pp. 1712-1726
Author(s):  
Benjamin Paulo Leme Meza ◽  
Craig Evan Pollack ◽  
David M. Levine ◽  
Carl A. Latkin ◽  
Jeanne M. Clark ◽  
...  

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
D Casacuberta

Abstract Digital social networks, such as Instagram, Facebook or Twitter are both repositories of cultural tendencies and common social interests, as well as devices to expand and extend such tendencies among the general population. A relevant number of such cultural tendencies do have an impact in public health. In this talk we will focus on one of the such common cultural tendencies: food consumption. People like to share recipes, new diets, pictures or what they are eating, and so on. Thanks to geolocalization, it is relatively easy to find out the geographical origins or such entries and posts, and see how a food consumption tendency is distributed around the world. Understanding how such digital entries are copied and distributed or “liked” by other users can help us to both see how a tendency generates and how it spreads, as well as its global and local acceptance by users. During the talk we will analyze how data obtained from such digital social networks, specially Twitter, Facebook and Instagram, are being used to analyze patterns of food consumption that can become public health problems, associated with obesity, anorexia, unhealthy diets, etc. We will focus on the epistemic innovations associated with these investigations, analyzing the strengths and weaknesses that have machine-based approaches versus more qualitative analyzes, and assess the epistemic reliability of those approaches.


2019 ◽  
Vol 23 (5) ◽  
pp. 684-709 ◽  
Author(s):  
Tibor Zingora ◽  
Tobias H. Stark ◽  
Andreas Flache

Research has shown that adolescents’ intergroup attitudes are subject to friends’ influence, but it remains unknown if certain friends are more influential than others. Popular adolescents may be especially influential of their friends’ intergroup attitudes because they can set peer norms. We examined several indicators of popularity in social networks as possible determinants of social influence: sociometric popularity, prestige popularity, being a clique leader, and frequency of contact with friends. Longitudinal analysis of adolescents’ friendship networks (12–13 years, N = 837) allowed estimating influence of friends on adolescents’ intergroup attitudes, while controlling for the tendency of adolescents to befriend peers with similar intergroup attitudes. Results showed that adolescents’ intergroup attitudes changed in the direction of friends’ intergroup attitudes. Only peers who are popular in terms of having many friends (sociometric popular) were especially influential of their friends’ intergroup attitudes. These findings may inform future interventions aiming to reduce prejudice.


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