Comparing Amazon's Mechanical Turk platform to conventional data collection methods in the health and medical research literature
K Mortensen, TL Hughes - Journal of general internal medicine, 2018 - Springer
Background The goal of this article is to conduct an assessment of the peer-reviewed
primary literature with study objectives to analyze Amazon. com's Mechanical Turk (MTurk) …
primary literature with study objectives to analyze Amazon. com's Mechanical Turk (MTurk) …
A comparison of lifestyle marketing and brand influencer advertising for Generation Z Instagram users
Instagram has become a popular platform for consumers and marketers. Using the stimulus-
organism-response theory, this study compared lifestyle and brand influencer types of …
organism-response theory, this study compared lifestyle and brand influencer types of …
“Participant” perceptions of Twitter research ethics
C Fiesler, N Proferes - Social Media+ Society, 2018 - journals.sagepub.com
Social computing systems such as Twitter present new research sites that have provided
billions of data points to researchers. However, the availability of public social media data …
billions of data points to researchers. However, the availability of public social media data …
Replication: How well do my results generalize now? The external validity of online privacy and security surveys
Privacy and security researchers often rely on data collected through online crowdsourcing
platforms such as Amazon Mechanical Turk (MTurk) and Prolific. Prior work---which used …
platforms such as Amazon Mechanical Turk (MTurk) and Prolific. Prior work---which used …
Quality control questions on Amazon's Mechanical Turk (MTurk): A randomized trial of impact on the USAUDIT, PHQ-9, and GAD-7
Crowdsourced psychological and other biobehavioral research using platforms like
Amazon's Mechanical Turk (MTurk) is increasingly common–but has proliferated more …
Amazon's Mechanical Turk (MTurk) is increasingly common–but has proliferated more …
Designing toxic content classification for a diversity of perspectives
In this work, we demonstrate how existing classifiers for identifying toxic comments online
fail to generalize to the diverse concerns of Internet users. We survey 17,280 participants to …
fail to generalize to the diverse concerns of Internet users. We survey 17,280 participants to …
" I need a better description": An Investigation Into User Expectations For Differential Privacy
Despite recent widespread deployment of differential privacy, relatively little is known about
what users think of differential privacy. In this work, we seek to explore users' privacy …
what users think of differential privacy. In this work, we seek to explore users' privacy …
Lifetime experience with (classic) psychedelics predicts pro-environmental behavior through an increase in nature relatedness
M Forstmann, C Sagioglou - Journal of Psychopharmacology, 2017 - journals.sagepub.com
In a large-scale (N= 1487) general population online study, we investigated the relationship
between past experience with classic psychedelic substances (eg LSD, psilocybin …
between past experience with classic psychedelic substances (eg LSD, psilocybin …
Toggles, dollar signs, and triangles: How to (in) effectively convey privacy choices with icons and link texts
Increasingly, icons are being proposed to concisely convey privacy-related information and
choices to users. However, complex privacy concepts can be difficult to communicate. We …
choices to users. However, complex privacy concepts can be difficult to communicate. We …
An empirical study on the perceived fairness of realistic, imperfect machine learning models
G Harrison, J Hanson, C Jacinto, J Ramirez… - Proceedings of the 2020 …, 2020 - dl.acm.org
There are many competing definitions of what statistical properties make a machine learning
model fair. Unfortunately, research has shown that some key properties are mutually …
model fair. Unfortunately, research has shown that some key properties are mutually …