scholarly journals Changes in social networks are associated with lesbian, bisexual and queer women quitting smoking: An analysis of Australian survey data

2018 ◽  
Vol 38 (1) ◽  
pp. 76-81 ◽  
Author(s):  
Johann Kolstee ◽  
Rachel M. Deacon ◽  
Samar Haidar ◽  
James Gray ◽  
Julie Mooney-Somers
Keyword(s):  
Social Networks ◽  
Survey Data ◽  
Queer Women ◽  
Quitting Smoking

scholarly journals Virtually Queer? Homing Devices, Mobility, and Un/Belongings

2006 ◽  
Vol 31 (4) ◽  
Author(s):  
Mary Bryson ◽  
Lori MacIntosh ◽  
Sharalyn Jordan ◽  
Hui-Ling Lin
Keyword(s):  
Social Networks ◽  
British Columbia ◽  
Research Project ◽  
Politics Of Recognition ◽  
Ongoing Research ◽  
Queer Women ◽  
Knowledge Practices ◽  
Réseaux Sociaux ◽  
Sociocultural Approach ◽  
Media Practices

Abstract: This article counters and complicates decontextualized, celebratory accounts of queer subjects and cyberspace. The authors explore the significance of communicative media for queer women, with a particular focus on the negotiation of complex identifications, communities, social networks, and knowledge practices. Using a critical, sociocultural approach, the authors make illustrative use of interviews conducted in British Columbia and Alberta that are part of an ongoing research project (www.queerville.ca) that situates media practices in the quotidian. The authors’ arguments concerning queer virtualities attend to (im)mobilities across multiple offline and online contexts; complex geographies of un/belonging; a paradoxical relation of intense suturing to, and disavowal of, mediation; as well as the problematics of a “politics of recognition” and of “visibility,” at work in sites of subjectification and sociality. Résumé : L’article qui suit renverse et complexifie certaines préconceptions mythes décontextualisés à propos du « queer » et d’Internet. L’enjeu des auteurs est d’explorer ce que signifie la communication médiatisée pour les femmes « queer » , en portent une attention particulière à la négociation des identifications complexes, des communautés, des réseaux sociaux, et des pratiques de la connaissance. Via l’approche socioculturelle critique, les auteurs proposent une réflexion éclairante sur des entrevues dirigées en Colombie-Britannique et en Alberta—partie d’un projet de recherche en cours (www.queerville.ca) qui situe les pratiques médiatiques dans le quotidien. Les axes de recherche des auteurs quant au monde virtuel « queer » touchent aux im/mobilités à travers divers contextes hors ligne et en ligne ; aux géographies complexes d’appartenance et de non-appartenance ; à la relation paradoxale d’un point de rencontre intense par la médiation et par le refus de la médiation ; autant qu’aux problématiques d’une « politique de reconnaissance » et de « visibilité » au travail dans les lieux de subjectification et de sociabilité.

scholarly journals Whose media are hostile? The spillover effect of interpersonal discussions on media bias perceptions

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Laia Castro ◽  
David Nicolas Hopmann ◽  
Lilach Nir
Keyword(s):  
Social Networks ◽  
Survey Data ◽  
Spillover Effect ◽  
Media Bias ◽  
The Us ◽  
The Impact ◽  
Hostile Media

AbstractSince Eveland and Shah (2003) published their seminal study on the impact of social networks on media bias perceptions in the US, little has been researched about the interpersonal antecedents of hostile media perceptions. In this study we address this gap by investigating the role of safe, or like-minded, political discussions on individuals’ likelihood to perceive media as hostile. We use survey data from more than 5,000 individuals in Germany. Our findings reveal that like-minded discussions increase one’s likelihood to perceive media as hostile; yet, only among those more politically engaged and ideologically on the left. The significance and theoretical implications of the results are discussed in the concluding section.

scholarly journals Comparative Social Capital: Networks of Entrepreneurs and Venture Capitalists in China and Russia

2007 ◽  
Vol 3 (3) ◽  
pp. 397-419 ◽  
Author(s):  
Bat Batjargal
Keyword(s):  
Social Capital ◽  
Social Networks ◽  
Empirical Study ◽  
Venture Capital ◽  
Institutional Theory ◽  
Survey Data ◽  
Private Equity ◽  
Interpersonal Trust ◽  
Venture Capitalists ◽  
Professional Networks

I compare networks of entrepreneurs and venture capitalists in China and Russia by examining professional social networks of software entrepreneurs and private equity investors from the perspectives of institutional theory and culture paradigm. In the empirical study, I draw on survey data from Beijing and Moscow based on interviews of 159 software entrepreneurs and 124 venture capital decisions. I found that professional networks of the Chinese software entrepreneurs are smaller, denser and more homogeneous in educational specializations, compared with the networks of Russian entrepreneurs. Furthermore, I found that both ties and interpersonal trust in the referral tie are stronger in China than in Russia.

scholarly journals An Empirical Study on Travelers’ Acceptance Intention of Travel Information on Social Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Jian Chen ◽  
Rui Li ◽  
Zhiyan Fu ◽  
Chi Zhang ◽  
Fatao Yuan
Keyword(s):  
Social Networks ◽  
Technology Acceptance ◽  
Survey Data ◽  
Latent Variables ◽  
Explanatory Power ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Extended Model ◽  
Travel Information

Social networks are new channels for travelers to obtain or share travel information, which has important impacts on their travel decision-making behavior. Therefore, the psychological feelings of travelers and their acceptance intention (AI) of this type of travel information should be explored. In this study, certain psychological latent variables were incorporated into a technology acceptance model to construct an extended model that explores the factors influencing the travelers’ AI of travel information on social networks. This model was validated using survey data collected in Chongqing, China. The influence of each factor on the AI and the interaction between factors were quantitatively described using the structural equation modeling method. The results showed that the perceived risk, perceived trust, and perceived usefulness are the most important factors affecting travelers’ AI; the subjective norm, hedonic motivation, and perceived ease of use also exert a certain degree of influence; the proposed research model has a good interpretation ability for AI, and the explanatory power has reached 52%. This study confirmed the applicability of the constructed model in this research field on the basis of survey data and provided a theoretical reference for ascertaining the attitude of travelers toward travel information available on social networks.

scholarly journals Diffusion on social networks: Survey data from rural villages in central China

Data in Brief ◽  
2016 ◽  
Vol 7 ◽  
pp. 546-550 ◽  
Author(s):  
Hang Xiong ◽  
Puqing Wang ◽  
Yueji Zhu
Keyword(s):  
Social Networks ◽  
Survey Data ◽  
Central China ◽  
Rural Villages

The Link between Relative Pay and Job Satisfaction Revisited

2020 ◽  
Author(s):  
Andreas Eberl ◽  
Matthias Collischon
Keyword(s):  
Job Satisfaction ◽  
Social Networks ◽  
Survey Data ◽  
Time Trends ◽  
Fixed Effects ◽  
Work Values ◽  
Unobserved Heterogeneity ◽  
Reference Group ◽  
Omitted Variable Bias ◽  
Variable Bias

Abstract This paper investigates the connection between job satisfaction and comparison pay (defined as a person’s rank within a reference group) with SOEP Data. Based on work values and social networks, we argue that the existing literature neglects heterogeneities in individual job satisfaction as well as wage trajectories along the career path. Thus, previous studies based on survey data likely overestimate the connection between job satisfaction and comparison pay. We use fixed-effects individual slopes models to account for heterogeneous time trends between individuals. We find no statistically significant correlation between comparison pay and job satisfaction. We conclude that previous estimates were biased by not accounting for idiosyncratic trends in job satisfaction due to unobserved heterogeneity, which led to an omitted variable bias.

scholarly journals Cross-cutting Social Networks: Testing Democratic Theory in Practice

2002 ◽  
Vol 96 (1) ◽  
pp. 111-126 ◽  
Author(s):  
DIANA C. MUTZ
Keyword(s):  
Social Networks ◽  
Laboratory Experiment ◽  
Survey Data ◽  
Heterogeneous Networks ◽  
Political Discussion ◽  
Political Tolerance ◽  
Political Views ◽  
Democratic Polity ◽  
The Impact

Exposure to conflicting political viewpoints is widely assumed to benefit the citizens of a democratic polity. Nonetheless, the benefits of exposure to heterogeneous political viewpoints have yet to be demonstrated empirically. Drawing on national survey data that tap characteristics of people's political discussion networks, I examine the impact of heterogeneous networks of political discussion on individuals' awareness of legitimate rationales for oppositional viewpoints, on their awareness of rationales for their own viewpoints, and on levels of political tolerance. Finally, utilizing a laboratory experiment manipulating exposure to dissonant and consonant political views, I further substantiate the causal role of cross-cutting exposure in fostering political tolerance.

The social mediation of political rumors: Examining the dynamics in social media and belief in political rumors

Journalism ◽  
2017 ◽  
Vol 21 (10) ◽  
pp. 1522-1538
Author(s):  
Soo Young Bae
Keyword(s):  
Social Networks ◽  
Social Media ◽  
South Korea ◽  
Survey Data ◽  
Online Social Networks ◽  
Network Characteristics ◽  
Social Mediation ◽  
The Social ◽  
Nuanced Understanding

Using survey data of social media users in South Korea, this study investigates the dynamics of political rumors in online social networks. Findings of this study reveal the significant connection between the users’ reliance on social media as a source for news and their beliefs in political rumors. Taking a step further, this study underscores the need to understand how users process misinformation they receive through online social networks. Drawing attention to the role of network characteristics in the construction of beliefs around political rumors, this study provides a more nuanced understanding of the conditions under which rumors and misinformation can be regarded as more believable.

Sign in / Sign up

Export Citation Format

Share Document