Suchergebnisse

In recent years, we have witnessed a rapid spread of biometric technologies from the security domain to commercial and social media applications. In this article, we critically explore the repercussions of this diffusion of face recognition to everyday contexts with an in-depth analysis of Facebook's "tag suggestions" tool which first introduced the technology to on-line social networks. We use Nissenbaum's framework of contextual integrity to show how the informational norms associated with biometrics in security and policing - their contexts of emergence - are grafted on-line social networks onto their context of iteration. Our analysis reveals a process that has inadvertently influenced the way users understand face recognition, precluding critical questioning of its wider use. It provides an important deepening of contextually-driven approaches to privacy by showing the process through which contexts are co-constitutive of informational norms. Citizens are also offered a critical tool for understanding the trajectory of biometrics and reflect on the data practices associated with the use of face recognition in social media and society at large.

During the past decade, usage of online social network sites has grown dramatically rivaling search engines as the most visited Internet site. The intensive literature review reveals the existing of several studies that have been done on the field of Online Social Network (OSN), but there is a lack of research that deals with usage in the context of public sector organizations. This study aims to employ structural equation modeling via AMOS to analyze 401 valid questionnaires for assessing a model which is proposed based on Unified Theory of Acceptance and Use of Technology (UTAUT) to identify the factors affecting the use of OSN among employees of a public sector organization in the UAE. The proposed model examines the influence of four factors; performance, effort, social influence, and facilitating conditions on the actual use of OSN. Results indicated that all these factors (as independent variables) significantly predicted the actual usage of OSN with various percentages. Our work improved the insights on the online social networking usage in the context of public sector organizations.

PurposeThe purpose of this paper is to explore the influence of five dimensions of similarity (i.e. condition similarity, context similarity, catalyst similarity, consequence similarity and connection similarity) on Facebook social networks development.Design/methodology/approachA questionnaire-based survey was conducted with 245 Romanian college students. SmartPLS 3 statistical software for partial least squares structural equation modeling was chosen as the most adequate technique for the assessment of models with both composites and reflective constructs.FindingsMore than 52 percent of the variance in social network development was explained by the advanced similarity model. Each dimension had a positive effect on Facebook social networks development, the highest influences being exerted by condition similarity, context similarity and consequence similarity.Research limitations/implicationsThe current approach is substantively based on the homophily paradigm in explaining social network development. Future research would benefit from comparing and contrasting complementary theories (e.g. the rational self-interest paradigm, the social exchange or dependency theories) with the current findings. Also, the research is tributary to a convenience-based sample of Romanian college students which limits the generalization of the results to other cultural contexts and, thus, invites further research initiatives to test the model in different settings.Social implicationsSimilarity attributes and mechanisms consistently determine the dynamics of online social networks, a fact which should be investigated in depth in terms of the impact of new technologies among young people.Originality/valueThis study is among the first research initiatives to approach similarity structures and processes within an integrative framework and to conduct the empirical analysis beyond US-centric samples.

ABSTRACTBuilding upon social capital theory, we identify different attributes of frontline employee (FLE) social capital and outline how the use of online social networks (OSNs) can enable social capital development and social capital maintenance. We examine key boundary conditions of time management skills, perceived innovation climate, and customer perceived FLE responsiveness. Use of multi‐informant data from FLEs working in B2B sales/service roles, their customers, and managers enabled a comprehensive analysis that accounts for the endogenous nature of the predictor variables. We find the use of OSNs relates to social capital development and maintenance. Time management skills strengthen links between OSNs and both forms of social capital. However, perceived innovation climate plays a moderating role only in the social capital development process. Unique pathways connecting social capital development to customer loyalty with the firm and social capital maintenance to FLE sales performance were noted.

This paper assesses the impact of age and ideological identification on the left-right scale on the use of online social networks to acquire political information. Socio-demographic indicators and ideological identification have been found to impact democratic engagement and the access and use of social networks. In countries where the digital divide (access to the internet) and digital inequality (use of the internet) coexist, the impact of socio-demographic indicators is stronger, as those with fewer tools and resources have less access and make less use of social networks for democratic engagement. We postulate three hypotheses on the effect of socio-demographic determinants and ideological identification and test them using 6 national polls conducted between 2017 and 2019 in Chile, a middle-income country with high levels of inequality. Though socio-demographic variables and ideological identification impact the use of social networks to acquire political information, young people who do not identify on the ideological scale are as likely to use social networks to obtain political information as older people who identify on the left-right scale. As generational replacement kicks in, online democratic engagement will become more intense. Even the non-ideological youth is more politically engaged than the ideologically identified older age cohorts.

Online social networks (OSN) have become a part of our daily lives whether they are used for socialization and communication or to promote business interests. OSN have become an important tool for businesses to advertise, create brand awareness, and promote their products and services. Business use of OSN for advertising purposes is highly reliant on targeted ads which display advertisements to OSN users based on their demographics and use of OSN, apps, and websites. Thus, one of the most valuable commodities of OSN is the population of users and the information they share. To investigate the relationship between OSN site use, use of privacy settings, and how they relate to profile disclosure, a model is built based on the theory of reasoned action and the privacy calculus model. To validate the model, a survey is conducted and the results are analyzed with partial least squares. Risk and benefit were both shown to be significant antecedents of attitude. Both attitude and subjective norm, from the theory of reasoned action model, significantly affected OSN site use, while omitting intentions. OSN site use was significantly related to both profile disclosure and use of privacy settings. Last, use of privacy settings significantly affected profile disclosure. These results imply that use of privacy settings does not decrease the rate of disclosure. Giving users tools to protect their private information is important in protecting the privacy of OSN users, and it will lead to increases in safe disclosure of information helping OSN target ads effectively.