WHO IS THE IDENTIFIABLE VICTIM?--CASTE INTERACTS WITH SYMPATHY IN INDIA

Earlier studies have documented an “identifiable victim effect”-- people donate more to help individual people than to groups. Evidence suggests that this is in part due to an emotional reaction to the identified recipients, who generate more sympathy. However, stereotype research has shown that low-ranking groups are often not seen sympathetically; indeed stigmatized groups can be targets of “dehumanized” perception, perceived with disgust. We conducted an internet survey experiment among Indian participants, crossing the identification treatment with the group membership of the recipient. We indicate group membership of identified recipients subtly, with names that connote a social rank. We found an identifiable recipient effect for generically Indian, high caste, and Muslim recipients, but the effect was reversed for low caste recipients. Participants were as willing to donate to statistical low caste recipients as to statistical high caste recipients, but were less willing to donate to identified low caste recipients.However, an identifiable victim effect was seen for all recipient groups among participants open to a love marriage, a coarse indicator of rejecting caste hierarchy in favor of shared humanity. To our knowledge, this is the first study demonstrating that the identifiable victim effect interacts with the identity of the victim.identifiable victim effect; stereotypes; out-groups; caste; Dalit; pro-social behavior; India

The Use of Online Panel Data in Management Research: A Review and Recommendations

Management scholars have long depended on convenience samples to conduct research involving human participants. However, the past decade has seen an emergence of a new convenience sample: online panels and online panel participants. The data these participants provide—online panel data (OPD)—has been embraced by many management scholars owing to the numerous benefits it provides over “traditional” convenience samples. Despite those advantages, OPD has not been warmly received by all. Currently, there is a divide in the field over the appropriateness of OPD in management scholarship. Our review takes aim at the divide with the goal of providing a common understanding of OPD and its utility and providing recommendations regarding when and how to use OPD and how and where to publish it. To accomplish these goals, we inventoried and reviewed OPD use across 13 management journals spanning 2006 to 2017. Our search resulted in 804 OPD-based studies across 439 articles. Notably, our search also identified 26 online panel platforms (“brokers”) used to connect researchers with online panel participants. Importantly, we offer specific guidance to authors, reviewers, and editors, having implications for both micro and macro management scholars

Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

Computer vision has a great potential to help our daily lives by searching for lost keys, watering flowers or reminding us to take a pill. To succeed with such tasks, computer vision methods need to be trained from real and diverse examples of our daily dynamic scenes. While most of such scenes are not particularly exciting, they typically do not appear on YouTube, in movies or TV broadcasts. So how do we collect sufficiently many diverse but boring samples representing our lives? We propose a novel Hollywood in Homes approach to collect such data. Instead of shooting videos in the lab, we ensure diversity by distributing and crowdsourcing the whole process of video creation from script writing to video recording and annotation. Following this procedure we collect a new dataset, Charades, with hundreds of people recording videos in their own homes, acting out casual everyday activities. The dataset is composed of 9,848 annotated videos with an average length of 30 seconds, showing activities of 267 people from three continents. Each video is annotated by multiple free-text descriptions, action labels, action intervals and classes of interacted objects. In total, Charades provides 27,847 video descriptions, 66,500 temporally localized intervals for 157 action classes and 41,104 labels for 46 object classes. Using this rich data, we evaluate and provide baseline results for several tasks including action recognition and automatic description generation. We believe that the realism, diversity, and casual nature of this dataset will present unique challenges and new opportunities for computer vision community

Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics

Micro-task crowdsourcing is an international phenomenon that has emerged during the past decade. This paper sets out to explore the characteristics of the international crowd workforce and provides a cross-national comparison of the crowd workforce in ten countries. We provide an analysis and comparison of demographic characteristics and shed light on the significance of micro-task income for workers in different countries. This study is the first large-scale country-level analysis of the characteristics of workers on the platform Figure Eight (formerly CrowdFlower), one of the two platforms dominating the micro-task market. We find large differences between the characteristics of the crowd workforces of different countries, both regarding demography and regarding the importance of micro-task income for workers. Furthermore, we find that the composition of the workforce in the ten countries was largely stable across samples taken at different points in time

The Use of Reddit as an Inexpensive Source for High-Quality Data

Today, researchers have the ability to conduct their investigations in a number of different manners, including both traditional testing using university subject pool participants and the more recent method of online recruitment. Although the use of internet participants is becoming more popular, this area of research is still very much in its infancy and needs further examination. Additionally, alternative web-based platforms need to be investigated because much of the literature has focused on using Amazon.com’s Mechanical Turk (MTurk). Therefore, the current study recruited an internet population using the website Reddit, and compared them to a traditional undergraduate sample to learn more about this web-based platform. The results demonstrated similarities and distinctions between the two samples. Furthermore, previous findings in the psychological well-being literature were replicated. As a whole, the participants recruited from Reddit provided high-quality data that were inexpensive and comparable to the responses gathered using undergraduate participants. We conclude that this website appears to be a promising tool for the field of psychological assessment, research, and evaluation. Accessed 4,072 times on https://pareonline.net from May 30, 2017 to December 31, 2019. For downloads from January 1, 2020 forward, please click on the PlumX Metrics link to the right

Why do retail investors make costly mistakes? An experiment on mutual fund choice

There is mounting evidence that retail investors make predictable, costly investment mistakes, including underinvestment, naïve diversification, and payment of excessive fund fees. Over the past thirty-five years, however, participant-directed 401(k) plans have largely replaced professionally managed pension plans, requiring unsophisticated retail investors to navigate the financial markets themselves. Policy-makers have struggled with regulatory interventions designed to improve the quality of investment decisions without a clear understanding of the reasons for investor mistakes. Absent such an understanding, it is difficult to design effective regulatory responses. This article offers a first step in understanding the investor decision-making process. We use an internet-based experiment to disentangle possible explanations for inefficient investment decisions. The experiment employs a simplified construct of an employee’s allocation among the options in a retirement plan coupled with technology that enables us to collect data on the specific information that investors choose to view. In addition to collecting general information about the process by which investors choose among mutual fund options, we employ an experimental manipulation to test the effect of an instruction on the importance of mutual fund fees. Pairing this instruction with simplified fee disclosure allows us to distinguish between motivation-limits and cognition-limits as explanations for the widespread findings that investors ignore fees in their investment decisions. Our results offer partial but limited grounds for optimism. On the one hand, within our simplified experimental construct, our subjects allocated more money, on average, to higher-value funds. Furthermore, subjects who received the fees instruction paid closer attention to mutual fund fees and allocated their investments into funds with lower fees. On the other hand, the effects of even a blunt fees instruction were limited, and investors were unable to identify and avoid clearly inferior fund options. In addition, our results suggest that excessive, naïve diversification strategies are driving many investment decisions. Although our findings are preliminary, they suggest valuable avenues for future research and important implications for regulation of retail investing

COPING MOTIVES AS A MODERATOR OF THE ASSOCIATION BETWEEN MINORITY STRESS AND ALCOHOL USE AMONG EMERGING ADULTS OF MARGINALIZED SEXUALITIES AND GENDERS

Alcohol use and negative consequences are higher among individuals of marginalized sexualities and genders (MS/G), and emerging adults within this category face particular risks. According to Meyer’s (2003) minority stress model, the higher prevalence of alcohol use and negative consequences among MS/G is an attempt to cope with proximal/internal and distal/external minority stressors. The purpose of this study was to examine whether coping motives moderated the relationship between internal minority stress and alcohol use outcomes. We hypothesized that higher internal minority and emerging adult stressors would be positively associated with higher levels of drinking-related outcomes, and that coping would moderate this association, with those higher in coping motives reporting a stronger positive relationship between internal minority stress and alcohol use outcomes. 122 MS/G college students (ages 18-25) completed an online survey assessing their alcohol use and associated negative consequences, internal and external minority stressors, and drinking motives. Results of hierarchical linear regressions revealed that while coping motives positively, associated with alcohol-related negative consequences (β = .38, p \u3c .001) and quantity of alcohol consumption (β = .22, p \u3c .01), there was not a significant interaction between coping motives and internal minority stressors. However, both coping motives (β = .22, p \u3c .01) and internal minority stressors (β = .22, p \u3c .01) were positively associated with frequency of binge drinking, with a significant interaction between internal minority stress and coping (β = .07, p \u3c .05). These results suggest that MS/G college students who endorse greater coping motives consume greater quantities of alcohol and are at greater risk for alcohol-related negative consequences. Only binge drinking was significantly associated with internal minority stress and moderated by coping, raising the possibility that internal minority stress is significantly related to alcohol use only at higher levels of alcohol consumption

WE DON’T NEED NO EDUCATION : REQUIRED ABILITIES IN ONLINE LABOR MARKETS

The paper presents a study conducted through a cross sectional research design and a quantitative content analysis method to categorize and provide a numerically based summary of the different abilities requested in online routine labor markets like Mechanical Turk. These markets are growing nowadays for the outsourcing of routine information processing tasks. This is mainly due to the existence of tasks that computerization is not capable to substitute. This research is a first attempt to study abilities required by employers from low skilled information processing workers in virtual marketplaces. It also points out the fact that a new generation of temporary workers is appearing on the labor market raising questions about their characteristics, behaviors and differences compared to high skilled knowledge workers. The unit of analysis is a sample of tasks published by requesters on Mechanical Turk starting from 24th to 31th January 2010