Trust is key to community commerce or peer-to-peer e-commerce where transactions happen within local communities. Trust is especially vital among migrants who move to new countries and need time to develop trust after arrival. To understand migrants' trust development in community commerce and its potential and challenges for supporting their transition to the United States, we conducted 24 semi-structured interviews with migrants who had lived there for three years or less. We highlight practices embedded in difficulties engaging with technologies in a new place. We identify four forms of migrants' trust and show how their offline experiences with local communities reflect their online trust development in community commerce and vice versa, thereby creating unique challenges in their adaptation to new technologies. We coin the term sociotechnical adaptation to frame migrants' distinctive adjustments to social media technologies in a new country. We conclude with implications for creating community commerce platforms that foster migrants' trust and a reflection on how sociotechnical adaptation may vary among diverse migrant populations.

During the COVID-19 global health crisis, institutions, policymakers, and academics alike have called for practicing resilience to overcome its ongoing disruptions. This paper contributes a comparative study of the job search experiences of working-class and upper-middle-class job seekers, particularly in relation to their resilience practices during the pandemic. Drawing from in-depth interviews with 12 working-class and 11 upper-middle-class job seekers in the U.S., we unpack challenges resulting from both the pandemic and unemployment and job seekers' novel practices of navigating these challenges in their everyday disrupted life. Job seekers' ongoing negotiation with their resources, situations, and surroundings gives practical meanings to building everyday resilience, which we theorize as an ongoing process of becoming resilient. While job seekers across classes experienced similar challenges, working-class job seekers took on additional emotional labor in their everyday resilience due to their limited experience in the digital job search space, competition with higher-degree holding job seekers applying for the same jobs, limited social support networks, and at times, isolation. By foregrounding the uneven distribution of emotional labor in realizing the promise of resilience along class lines, this work cautions against the romanticization of resilience and calls for a more critical and nuanced understanding of resilience in CSCW.

This article contributes results of a longitudinal field study of SkillsIdentifier, an employment tool originally designed and assessed in the United States (U.S.), to support “underrepresented” job seekers in identifying and articulating their employment skills. To understand whether the tool could support the needs of job seekers outside the U.S., we assessed it among 16 job seekers with limited education and language resources in Switzerland. While many of our results mirrored those of the U.S., we found that the tool was especially beneficial for non-French speaking immigrants who needed support describing their skills outside of their native language. We also found that listing skills like “active listening” without important context was insufficient and risked hiding key skills and meaning behind those skills to employers. Taking these factors into account, we illustrate the design implications of our findings and directions for practitioners who wish to design employment tools in support of job seekers, especially those who have traditionally been excluded from the labor market. We then provide insight into the potential for unintended consequences as a result of focusing solely on skills in a post-COVID labor market and contribute ways to mitigate them.

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 Technology integration in the workplace context has led to substantial growth in high- versus low-skilled jobs, and thus, further disparities between workers and those who were already unemployed. Technology use is also being used more frequently in the job search process, which could further lead to disparities, especially for job seekers experiencing marginalization. Thus, we conducted a controlled longitudinal field deployment of two employment-based tools—RevueCV and InterviewApp—among 46 Switzerland-based unemployed job seekers. Using the theory of planned behavior (TPB), we sought to understand how the tools affected job search self-efficacy, subjective norms and job search attitudes—the three factors that influence a job seekers’ job search intention. Although participants appreciated the support the two tools provided, and the inherent study benefits, our interview and survey results showed no substantial changes in their TPB values, primarily because the tools provided overlapping services with the local job placement offices. However, results of our interviews found autonomy, or the lack thereof, to be a key factor contributing to job seeker dissatisfaction. We introduce the concept of self-regulation to the TPB as an explanatory construct and contribute design and theoretical implications to support autonomy among job seekers with less control of their job search.

Over three billion people use personal email accounts for a wide variety of communications, largely from businesses. These messages often require additional information that users need to look for outside of the email itself, such as store hours, bill details, or related news articles. We studied these "email-prompted information needs" in a pilot interview-based study, a two-week diary study, and a large-scale survey with 790 total participants, finding that Notification, Deal, and Newsletter messages were the most likely to spark a need for external information. We conclude with several designs evaluated in a concept evaluation study with 276 participants and implications for the design of personal email services to better meet users' external information needs.

Technologies play a key role in finding employment in today's job market. However, the majority of those who are unemployed, e.g., individuals who have limited education or who are racial and ethnic minorities, are not well supported by existing digital employment tools. Therefore, we conducted an 8-month randomized field experiment to evaluate two tools-Review-Me and Interview4-designed to address these job seekers' key employment needs. We used the Theory of Planned Behavior to examine the tools' effects on three factors influencing job seekers' job search intention: job search self-efficacy, subjective norms, and job search attitudes. Our interview data suggested that the tools positively affected all factors, but our survey results were mixed. Interview results suggest that these trends were caused by positive feedback and self-reflection. We contribute ways to integrate these two features into future tools for, and techniques to increase study retention among, underrepresented job seekers.

The digital sharing economy has introduced opportunities for economic growth, productivity, and technological innovation. However, the adoption of sharing economy applications may be inaccessible to certain demographics, including older adults, low-income adults, and individuals who are not college educated. This research investigates how the demographic factors: trust, computer self-efficacy, and perceived ease of use, impact participation in the sharing economy. Drawing on survey data with 508 participants, we found that trust in institutions, computer self-efficacy, and perceived ease of use positively correlate to individuals' past use of and willingness to pay for future sharing economy services, but age is negatively correlated. Surprisingly, we do not find that sharing economy users are more likely to have higher trust in strangers, higher incomes, or more education. We compare our findings to existing research, discuss why institutional trust might negate other concerns about sharing economy use, and explore opportunities to support broader participation in the sharing economy.

The key to successful adaptation for immigrants in a new country is their social capital, or those resources embedded in their social networks. Research suggests that information and communication technologies (ICTs) foster immigrants' social capital and facilitate their adaptation. However, it is unclear how recent immigrants use ICTs to develop social capital and how this supports their adaptation needs. We performed semi-structured interviews with thirteen recent immigrants and five long-term immigrants. We found that ICTs and technology-mediated connections: (1) easily addressed immigrants' settlement needs, (2) minimally addressed their financial and cultural needs, and (3) were not used to address their emotional needs. To support recent immigrants' adaptation, we suggest ways for ICTs to (1) reduce uncertainty about meeting local-born populations, (2) foster reciprocity among immigrant communities, and (3) facilitate safe resource exchanges.

People-nearby applications (PNAs), such as Tinder and Badoo, help millions of users to make new social connections everyday. However, little is known about how PNAs support offline interactions or what application features are associated with offline encounters. Research suggests that these applications support the development of social capital, but the forms of social capital are unclear. We conducted interviews with 14 active PNA users to address these questions. Our results suggest that while existing PNA features such as filters, profile photos, and chat support online connections, most participants used non-PNA platforms to build mutual trust before meeting offline. In addition, PNA users developed two forms of social (informal and formal) and cultural capital (incorporated and symbolic). We offer insights into how PNAs and non-PNAs intersect to foster feelings of safety and trust prior to offline meetings, and we propose ways for PNAs to support the exchange of cultural and social capital.