As social interactions increasingly become exclusively online, there is a need for research on the role of identity and social identity in online platforms. Drawing on Symbolic Interactionist approaches to identity, namely Social Identity Theory and Identity Theory, as well as Signaling Theory, this study argues that actors will selectively use religious language to signal their credentials to an audience for the purpose of garnering prosocial behavior in the form of donations to their fundraising campaign. Using latent semantic analysis topic models to analyze the self-presentations of crowdsourcing campaigners on GoFundMe.com, this study found evidence for the presence of signaling to a religious identity online as well as a significant difference in the presentation of need for campaigns originating in areas with high reported religiosity compared to campaigns from areas of low religiosity. In comparison to other campaigns, campaigners engaging in religious signaling were significantly increasing their donations. I suggest that strategically chosen religious topics in online crowdfunding is an example of low-cost identity signaling and provides insight into how signaling happens online and the potential outcomes resulting from this cultural work.

Nursing assistants (NAs) provide the majority of daily care to older adults in nursing homes (NHs); NAs working in NHs are the focus of this study. This study examined the influence of participatory management (the independent variable), and mediating variables, burnout – measured as emotional exhaustion, task performance, and affective organizational commitment, on NA withdrawal behaviors (the dependent variables absenteeism and turnover). Most of the data come from a 113-item self-administered questionnaire designed to measure NAs' perceptions of their job and work environment. Turnover data were collected from the NA's NH, on average about 16 months later. The two dependent variables were examined in separate analyses with the samples consisting of 246 participants for the absenteeism analysis and 244 for the turnover analysis. Data were analyzed using SPSS 25 and PROCESS 3.3, an SPSS macro add-in. Both ordinary least squares and logistic binary regression were used to examine the associations between variables. The results indicated that participatory management had statistically significant indirect effects on both outcomes. There were two significant mediation results for absenteeism: 1) participatory management increased NA task performance, which, in turn, decreased absenteeism and, 2) participatory management also decreased NA burnout, which, in turn, increased their performance …