96,275 research outputs found
On-line privacy behavior: using user interfaces for salient factors
The problem of privacy in social networks is well documented within literature; users have privacy concerns however, they consistently disclose their sensitive information and leave it open to unintended third parties. While numerous causes of poor behaviour have been suggested by research the role of the User Interface (UI) and the system itself is underexplored. The field of Persuasive Technology would suggest that Social Network Systems persuade users to deviate from their normal or habitual behaviour. This paper makes the case that the UI can be used as the basis for user empowerment by informing them of their privacy at the point of interaction and reminding them of their privacy needs. The Theory of Planned Behaviour is introduced as a potential theoretical foundation for exploring the psychology behind privacy behaviour as it describes the salient factors that influence intention and action. Based on these factors of personal attitude, subjective norms and perceived control, a series of UIs are presented and implemented in controlled experiments examining their effect on personal information disclosure. This is combined with observations and interviews with the participants. Results from this initial, pilot experiment suggest groups with privacy salient information embedded exhibit less disclosure than the control group. This work reviews this approach as a method for exploring privacy behaviour and proposes further work required
Factors Influencing Perceptions Toward Social Networking Websites in China
Based on an online national survey of 503 respondents, this study empirically investigates factors influencing perceptions toward social networking websites (SNWs) in China. More specifically, user demographics and media\ud
characteristics were examined. While income was found to be a significant predictor of users’ attitude toward SNWs, gender, age, educational level and marital status were insignificant, suggesting that demographic divides may be\ud
diminishing when it comes to online social media in China. Both perceived risk and enjoyment were found to have significant positive effects. Managerial implications were discussed
A typology categorization of millennials in their technology behavior
Hay un interĂ©s creciente por los millennials; y sin embargo, hasta la fecha hay escasas segmentaciones de los millennials en cuanto a su comportamiento en relaciĂłn a la tecnologĂa. En este contexto, este estudio trata las siguientes cuestiones:”¿Son los millennials monolĂticos o hay diferentes segmentos en esta generaciĂłn en cuanto a su comportamiento tecnolĂłgico?”. Y si este fuera el caso: “¿Existen diferencias importantes en cuanto a la forma en que los millennials usan la tecnologĂa?”. Nuestro objetivo consiste en examinar los potenciales perfiles de los millennials en relaciĂłn a su comportamiento y uso de la tecnologĂa. Los datos obtenidos de una muestra de 707 millennials se analizaron mediante un análisis de componentes principales y análisis clĂşster. A continuaciĂłn, los segmentos se caracterizaron mediante un análisis MANOVA. Nuestros resultados revelan la existencia de cinco segmentos o tipologĂas de millennials en cuanto a su comportamiento tecnolĂłgico: los “devotos de la tecnologĂa”, los “espectadores”, los “prudentes”, los “adversos” y los “productivos”. Este estudio contribuye de forma detallada al conocimiento sobre cĂłmo las diferentes categorĂas de millennials usan la tecnologĂa.There is an increasing interest for millennials; however, to date millennials’ segmentations regarding their technology behavior are scarce. In this context, this study addresses the following questions: “Are millennials monolithic, or are there segments within this generation group regarding the technology behavior?”. And if so: “Are there important variances in the way that millennial segments use technology?”. Our purpose is to examine the potential profiles of millennials regarding their technology use and behavior. Data from a sample of 707 millennials was gathered and analyzed through principal component analysis and cluster analysis. Then, millennials’ segments were profiled using a MANOVA analysis. Our findings revealed five different segments or typologies of millennials regarding their technology behavior: technology devotees, technology spectators, circumspects, technology adverse users and productivity enhancers. This study contributes with a detailed perspective of how different millennial segments use technology
Studying Diffusion of Viral Content at Dyadic Level
Diffusion of information and viral content, social contagion and influence
are still topics of broad evaluation. As theory explaining the role of
influentials moves slightly to reduce their importance in the propagation of
viral content, authors of the following paper have studied the information
epidemic in a social networking platform in order to confirm recent theoretical
findings in this area. While most of related experiments focus on the level of
individuals, the elementary entities of the following analysis are dyads. The
authors study behavioral motifs that are possible to observe at the dyadic
level. The study shows significant differences between dyads that are more vs
less engaged in the diffusion process. Dyads that fuel the diffusion proccess
are characterized by stronger relationships (higher activity, more common
friends), more active and networked receiving party (higher centrality
measures), and higher authority centrality of person sending a viral message.Comment: ASONAM 2012, The 2012 IEEE/ACM International Conference on Advances
in Social Networks Analysis and Mining. IEEE Computer Society, pp. 1291-129
- …