When Do People Trust Their Social Groups?

Trust facilitates cooperation and supports positive outcomes in social groups, including member satisfaction, information sharing, and task performance. Extensive prior research has examined individuals' general propensity to trust, as well as the factors that contribute to their trust in specific groups. Here, we build on past work to present a comprehensive framework for predicting trust in groups. By surveying 6,383 Facebook Groups users about their trust attitudes and examining aggregated behavioral and demographic data for these individuals, we show that (1) an individual's propensity to trust is associated with how they trust their groups, (2) smaller, closed, older, more exclusive, or more homogeneous groups are trusted more, and (3) a group's overall friendship-network structure and an individual's position within that structure can also predict trust. Last, we demonstrate how group trust predicts outcomes at both individual and group level such as the formation of new friendship ties.Comment: CHI 201

Building an innovation discontinuance model : the case of twitter

This dissertation seeks to extend Everett Rogers’s Diffusion of Innovations theory by examining social media users’ post-adoption behavior. Despite the rapid growth of social networking sites (SNSs), the rate of user discontinuance is staggering. Keeping users active and engaged has always been a crucial issue for SNSs. Prior diffusion research has largely focused on innovation adoption, whereas innovation discontinuance is overlooked. However, innovation discontinuance is a vital facet of the diffusion process. In the real world, only a few innovations become institutionalized while most end up being fads that most users discontinue quickly. While early studies approached discontinuance as a one-time, complete abandonment of an innovation, this study extends the concept by examining two types of discontinuance: intermittent and permanent. Intermittent discontinuers are users who leave an innovation for a break but resume the use at a later time; permanent discontinuers are those who have no intentions to return. This study takes a mixed-methods approach—combining a user survey with computational analyses of “big data” drawn from Twitter—to explore the differences between intermittent and permanent discontinuers in three dimensions: (1) their distinctive characteristics (demographic, behavioral, and psychographic), (2) reasons for discontinuance, and (3) decision processes. The concept of intermittent discontinuance leads to the development of a new post-adoption decision-making model, which accounts for discontinuers’ planned and unplanned readoption behavior. This cyclical, multi-stage model also provides a systematic framework to compare the behavior and cognitive reasoning between intermittent and permanent discontinuers at each phase of the post-adoption cycle. While prior studies employed both qualitative and quantitative research methods to examine discontinuance, few came up with clear and reliable ways to measure the timeframe of discontinuance and users’ reasons for discontinuance. To address the arbitrariness of determining what length of inactivity constitutes intermittent and permanent discontinuance, this study introduces a mathematical approach based on an innovation’s life cycle and its user base. To examine users’ reasons for discontinuance, this study refines and expands Rogers and Shoemaker’s replacement-disenchantment typology—by factors and by discontinuance typologies. While Rogers conceptualized the innovation-diffusion process as an uncertainty reduction process, this study suggests that post-adoption decision-making process is a disturbance-coping mechanism—a temporal settlement of the constant interplay between an innovation’s utilitarian performance and social media exhaustion. Intermittent discontinuance usually occurs due to information overloads. Permanent discontinuance tends to occur due to perceived innovation shortcomings and innovation replacement. This dissertation provides theoretical insights into the temporal instability of an innovation, and why and how an innovation is discarded or discredited. The findings contribute to an adequate comprehension of the entire innovation diffusion process, which also helps SNS providers develop tailor-made retention solutions to re-engage SNS users.Journalis

New Talent Signals: Shiny New Objects or a Brave New World?

Almost 20 years after McKinsey introduced the idea of a war for talent, technology is disrupting the talent identification industry. From smartphone profiling apps to workplace big data, the digital revolution has produced a wide range of new tools for making quick and cheap inferences about human potential and predicting future work performance. However, academic industrial–organizational (I-O) psychologists appear to be mostly spectators. Indeed, there is little scientific research on innovative assessment methods, leaving human resources (HR) practitioners with no credible evidence to evaluate the utility of such tools. To this end, this article provides an overview of new talent identification tools, using traditional workplace assessment methods as the organizing framework for classifying and evaluating new tools, which are largely technologically enhanced versions of traditional methods. We highlight some opportunities and challenges for I-O psychology practitioners interested in exploring and improving these innovations

Profiling with Big Data: Identifying Privacy Implication for Individuals, Groups and Society

User profiling using big data raises critical issues regarding personal data and privacy. Until recently, privacy studies were focused on the control of personal data; due to big data analysis, however, new privacy issues have emerged with unidentified implications. This paper identifies and investigates privacy threats that stem from data-driven profiling using a multi-level approach: individual, group and society, to analyze the privacy implications stemming from the generation of new knowledge used for automated predictions and decisions. We also argue that mechanisms are required to protect the privacy interests of groups as entities, independently of the interests of their individual members. Finally, this paper discusses privacy threats resulting from the cumulative effect of big data profiling

A Retrospective Clinical Study to Evaluate Treatment Outcomes of Vital Pulp Therapy with ProRootRTM Mineral Trioxide Aggregate, EndosequenceRTM Root Repair Material, and Biodentine RTM

The aim of this study was to evaluate success rates of vital pulp therapy cases completed exclusively by endodontic residents at West Virginia University School of Dentistry with 3 different bioactive calcium silicate cements. The materials used were ProRootRTM Mineral Trioxide Aggregate (MTA) white, EndosequenceRTM Root Repair Material (ERRM), and BiodentineRTM. Failures were also examined to observe trends toward failure associated with multiple factors.;All follow-up examinations included a clinical and radiographic evaluation, which included multiple examiners that read each radiograph. Associations between procedure failure rates and the factors of interest were examined through non-parametric tests due to the small number of failures relative to the overall sample size. Fisher\u27s exact tests were used to investigate associations between failure rate and each categorical factor. Wilcoxon rank sum tests were employed to assess associations between procedure failure rates and the continuous factors of patient age and follow-up time.;A total of 130 cases were completed by endodontic residents. Fifty cases were successfully recalled, and 41 cases met the inclusion criteria after a retrospective chart review. All cases were completed between 2010 and 2013. The age of patients ranged from 7-58 years with an average age of 14.3 years. The follow-up time for successful cases ranged from 160 to 1000 days with an average of 730 days. Failure follow-up ranged from 7-38 days with an average of 24 days. The overall success rate of the 41 cases was 87.8%. Those patients receiving ERRM materials had over twice the odds of failure compared to those patients receiving ProRootRTM MTA. (OR: 2.29 (0.32,16.51)). ERRM materials included both ERRM putty (8 patients) and ERRM syringeable (1 patient). Those patients with trauma-related procedures had over three times the odds of failure compared to those patients with caries/decay-related procedures. (OR: 3.22 (0.44, 23.65)). Also, one out of the four patients who received cotton and TriageRTM instead of immediate restoration were reported as failed cases. Nearly every patient with a failed procedure was older than the median age of patients that had a successful case. None of the factors examined were statistically significant.;Vital pulp therapy in this study had a success rate of 87.8% with an average of 730 days follow-up. While each of our conservative statistical tests did not indicate statistical significance, they are potentially clinically relevant. The factors of age, cases completed with ERRM, trauma vs. caries, and immediate restoration vs. temporizing should be examined in future studies