SOVA: Design of a Stakeholder Informed Social Media Website for Depressed Adolescents and Their Parents

Two moderated social media websites were designed for increasing likelihood for mental health treatment engagement for depressed adolescents (sova.pitt.edu) and for parents (wisesova.pitt.edu). This article describes iterative stakeholder interviews conducted with adolescents, young adults, parents, advocates, and clinicians and use of human computer interaction techniques to inform major design changes which: (a) underscored the role of online interaction to provide emotional support and information, (b) importance of anonymity, (c) desire to share positive media, and (d) need for frequent moderation. Future studies will examine acceptability and effectiveness of revised websites in helping depressed adolescents and their parents engage with treatment.     

Who Can Tell? Network Diversity,Within‐Industry Networks,and Opportunities to Share Job Information

This article examines opportunities to share job information. It adds to the growing body of research on information holders and complements existing research that explains what kinds of networks and network positions provide the greatest benefit to job seekers. Data from an exploratory study of entry‐level, white‐collar workers are used to relate opportunities to share information—defined to consist of both knowledge of a job opening and awareness of a potential applicant among one's network members—with information holders’ network composition. The data show that information holders with strong within‐industry networks have more opportunities to share information and do share more information. Information holders with diverse networks more often identify potential applicants for jobs and thus have more opportunities to share information. However, despite having more opportunities to do so, they do not share information more often than those with less diverse networks. These findings, combined with the growing literature on information holders, suggest that different aspects of network composition affect the flow of job information at different stages and thus by different mechanisms.     

Rejection,Humiliation, and Parole: A Study of Parolees' Perspectives

Research on status rejection has developed considerably over the past two decades and is applied in a number of different settings to better understand criminal and deviant behavior. Our research contributes to that body of work by examining the ways in which status rejection may create a potentially humiliating dynamic for individuals on parole. Specifically, we use in‐depth interviews with parolees to illustrate how the parolee identity can promote the experience of status rejection and simultaneously foster conditions for humiliation—an emotional state that may impede one's ability to both (re) construct a conventional identity and reintegrate back into one's community.     

工作场所中的危机传播

运用危机传播理论及自然主义研究框架,通过对发生于2003年8月14日加拿大安大略省和魁北克省以及美国东北部和中西部等大部分地区遭遇的两国历史上最具深远影响力的电力故障的调查分析,试图收集一家大型联邦机构雇员在电力故障发生后一周内所作出的反应信息,并进行分析,发现了该组织机构中危机管理系统存在的问题。     

Vice Careers: The Changing Contours of Sex Work in New York City

In the mid-1990s, changes to law enforcement strategies in New York City pushed many women working in the sex trade off of the streets and into the indoors. Increasing numbers of women began advertising sexual services in bars, over the Internet, and in print media, and conducting their work in their homes, hotels, and brothels. This study uses in-depth interviews and participant observation to examine the impact of this change on the life and work of women working in New York’s indoor sex trade. A critical finding is that as women move their work indoors, they begin to conceive of sex work as a profession and a career, rather than just a short-term means of employment. This “professional and careerist orientation” may have significant implications for the length of women’s tenure in sex work and ultimately, for their ability to exit the trade completely.

Using Analysis of Variance and Factor Analysis for the Reduction of High Dimensional Variation in Time Series of Energy Consumption

Summary: In this paper the complexity of high dimensional data with cyclical variation is reduced using analysis of variance and factor analysis. It is shown that the prediction of a small number of main cyclical factors is more useful than forecasting all the time-points separately as it is usually done by seasonal time series models. To give an example for this approach we analyze the electricity demand per quarter of an hour of industrial customers in Germany. The necessity of such predictions results from the liberalization of the German electricity market in 1998 due to legal requirements of the EC in 1996.