A5089969887- Mobile Crowdsensing and Crowdsourcing
- Misinformation and Its Impacts
- Ethics and Social Impacts of AI
- Behavioral Health and Interventions
- Social Media in Health Education
- Open Source Software Innovations
- Psychology of Moral and Emotional Judgment
- Innovative Human-Technology Interaction
- Digital Mental Health Interventions
- Digital Economy and Work Transformation
- Organic Food and Agriculture
- Scientific Computing and Data Management
- Labor market dynamics and wage inequality
- COVID-19 and Mental Health
- Psychosomatic Disorders and Their Treatments
- Religion, Spirituality, and Psychology
- Digital Marketing and Social Media
- Mobile Health and mHealth Applications
- Social Media and Politics
- Spam and Phishing Detection
- Mental Health Research Topics
- Environmental Sustainability in Business
- COVID-19 Pandemic Impacts
- Academic Writing and Publishing
- Survey Methodology and Nonresponse
DermResearch (United States)
2021-2022
Lander University
2014-2021
Clinical Research Solutions
2019-2020
Touro College
2017
New York Medical College
2017
In recent years, Mechanical Turk (MTurk) has revolutionized social science by providing a way to collect behavioral data with unprecedented speed and efficiency. However, MTurk was not intended be research tool, many common tasks are difficult time-consuming implement as result. TurkPrime designed platform that integrates supports the sciences. Like MTurk, is an Internet-based runs on any browser does require downloads or installation. Tasks can implemented include: excluding participants...
Amazon Mechanical Turk (MTurk) is widely used by behavioral scientists to recruit research participants. MTurk offers advantages over traditional student subject pools, but it also has important limitations. In particular, the population small and potentially overused, some groups of interest are underrepresented difficult recruit. Here we examined whether online panels can avoid these Specifically, compared sample composition, data quality (measured effect sizes, internal reliability,...
Mechanical Turk (MTurk) is a common source of research participants within the academic community. Despite MTurk's utility and benefits over traditional subject pools some researchers have questioned whether it sustainable. Specifically, asked MTurk workers are too familiar with manipulations measures in social sciences, result many relying on same small participant pool. Here, we show that concerns about non-naivete due less to platform itself more way use platform. find there at least...
Maintaining data quality on Amazon Mechanical Turk (MTurk) has always been a concern for researchers. These concerns have grown recently due to the bot crisis of 2018 and observations that past safeguards (e.g., approval ratings 95%) no longer work. To address concerns, CloudResearch, third-party website interfaces with MTurk, assessed ~165,000 MTurkers categorized them into those provide high- (~100,000, Approved) low- (~65,000, Blocked) data. Here, we examined predictive validity...
The COVID-19 pandemic has made the world seem less predictable. Such crises can lead people to feel that others are a threat. Here, we show initial phase of in 2020 increased individuals' paranoia and their belief updating more erratic. A proactive lockdown people's capricious. However, state-mandated mask-wearing induced erratic behaviour. This was most evident states where adherence rules poor but rule following is typically common. Computational analyses participant behaviour suggested...
There are currently over 1000 exercise apps for mobile devices on the market. These employ a range of features, from tracking activity to providing motivational messages. However, virtually nothing is known about whether improve levels and health outcomes and, if so, mechanisms these effects.Our aim was examine use associated with increased improved outcomes. We also develop framework within which understand how may affect test multiple models possible action boundary conditions...
This paper introduces Connect, CloudResearch's innovative platform designed to revolutionize the realm of online participant recruitment in social and behavioral science research. Operating as a marketplace, Connect facilitates interactions between researchers participants, enabling deployment surveys experiments constructed via third-party tools such Qualtrics, SurveyMonkey, Google forms. With its current focus on U.S. demographic (with plans future expansion other English-speaking...
Studies of the gender pay gap are seldom able to simultaneously account for range alternative putative mechanisms underlying it. Using CloudResearch, an online microtask platform connecting employers workers who perform research-related tasks, we examine whether discrepancies still evident in a labor market characterized by anonymity, relatively homogeneous work, and flexibility. For 22,271 Mechanical Turk participated nearly 5 million analyze hourly earnings gender, controlling key...
To understand human behavior, social scientists need people and data. In the last decade, Amazon’s Mechanical Turk (MTurk) emerged as a flexible, affordable, reliable source of participants was widely adopted by academics. Yet despite MTurk’s utility, some have questioned whether researchers should continue using platform on ethical grounds. The brunt their concern is that MTurk are financially insecure, subject to abuse, earn inhumane wages. We investigated these issues with two...
In a recent paper published on SSRN, Peer et al., (2021) compared data quality across five participant recruitment platforms commonly used for research in the behavioral sciences. After finding evidence to suggest Prolific is superior alternatives, authors, who are themselves primarily members of Prolific, state that using other "appears reflect market failure and an inefficient allocation or even misuse scarce budgets" (pg., 21). Such assertion has potential change how funds allocated...
Mechanical Turk (MTurk) is a common source of research participants within the academic community. Despite MTurk’s utility and benefits over traditional subject pools some researchers have questioned whether it sustainable. Specifically, asked MTurk workers are too familiar with manipulations measures in social sciences, result many relying on same small participant pool. Here, we show that concerns about non-naivete due less to platform itself more way use platform. find there at least...
Online data collection has become indispensable to the social sciences, polling, marketing, and corporate research. However, in recent years, online been inundated with low quality data. Low threatens validity of research and, at times, invalidates entire studies. It is often assumed that random, inconsistent, fraudulent surveys comes from ‘bots.’ But little known about whether bad caused by bots or ill-intentioned inattentive humans. We examined this issue on Mechanical Turk (MTurk), a...
Abstract The 2019 coronavirus (COVID-19) pandemic has made the world seem unpredictable. During such crises we can experience concerns that others might be against us, culminating perhaps in paranoid conspiracy theories. Here, investigate paranoia and belief updating an online sample (N=1,010) United States of America (U.S.A). We demonstrate increased individuals’ self-rated rendered their task-based more erratic. Local lockdown reopening policies, as well culture broadly, markedly...
Conducting behavioral research online allows researchers to gather more data in less time than conducting studies person. But this efficiency may sometimes have a cost. Specifically, when within just few hours, their study be subject of day bias. Because participants platforms are generally free complete whenever they want, people who take the morning different important ways those at night. We explored possibility two conducted on Amazon’s Mechanical Turk. In both studies, we sampled times...
People in online studies sometimes misrepresent themselves. Regardless of their motive for doing so, participant misrepresentation threatens the validity research. Here, we propose and evaluate a way to verify age respondents: test cultural knowledge. Across six (N = 1,543), participants various ages completed an verification instrument. The instrument assessed familiarity with phenomena (e.g., songs tv shows) from decades past present. We consistently found our discriminated between people...