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Mentorship and other social and relational support have been vital to poverty alleviation and transformative change. It is crucial to understand the underlying factors in the success of mentoring models and subsequent programs to support them. Thus, we conducted a mixed-methods study consisting of longitudinal surveys of community participants followed by semi-structured interviews with 28 community members, eight mentors, and two coaches participating in a community-based mentorship program. Drawing from community-based participatory research in partnership with a non-profit located in a Midwestern United States (U.S.) city, we unpack how the program supported self-sufficiency and economic mobility among adults experiencing financial hardships. Through an infrastructural lens, we attend to individuals’ infrastructuring work in social support, flexibility, and trust to support a “village” model of community-based mentorship. Our results show how the village model differs from traditional mentorship models that assume dyadic, one-to-one, often didactic, and hierarchical relationships (e.g., expert and protégé, adult and child) and are used primarily in the workplace and educational settings. The village mentorship model advocates for less hierarchical and more balanced relationships in non-institutional settings and flexible communication and technological needs. We discuss new research opportunities and design strategies for rethinking technology-mediated mentorship to support poverty-stricken adults in the U.S. 

Online employment resources are now as important as offline personal and professional networks, which have been pivotal in finding employment. However, it is unclear, which specific online resources are key to employment and how job seekers take advantage of them. Therefore, in an online survey of 768 job seekers, we investigated which online platforms, specific job search phases, behaviors, and job search strategies job seekers used in their job search, and which of these were associated with positive outcomes. We examined whether these results correlated with demographic factors and found differences in online platform use among income, gender, years of education, and race. Our results suggest that higher-income job seekers were more likely to use different strategies and more likely to get callbacks than lower-income job seekers. We raise new questions around demographics and technology and discuss the need for practitioners to design for a wider variety of job seekers. 

Abstract Motivated by work that characterizes view-based social media practices as “passive use,” contrasting it with more desirable, interactive “active use,” this study explores how social media users understand their viewing and clicking practices and the empirical relationship between them. Employing a combination of eye tracking, survey, and interview methods, our study (N = 42) investigates the non-click—instances where people intentionally and thoughtfully do not click on content they spend time viewing. Counterintuitively, we find no difference in viewing duration to clicked versus non-clicked Facebook content. We find that use motivations and Facebook feed content are significant predictors of click behavior but measures of overall use, such as network size or minutes of use per day, are not. Our interview data reveal three audience-related concerns that contribute to deliberate non-clicking and illustrate how non-clicked content contributes to social connectedness when imported into other channels. We discuss implications for researchers, users, and designers.