Automated Bot Detection Using Bayesian Latent Class Models in Online Surveys.

ABSTRACT: Behavioral scientists have become increasingly reliant on online survey platforms such as Amazon's Mechanical Turk (Mturk). These platforms have many advantages, for example it provides ease of access to difficult to sample populations, a large pool of participants, and an easy to use implementation. A major drawback is the existence of bots that are used to complete online surveys for financial gain. These bots contaminate data and need to be identified in order to draw valid conclusions from data obtained with these platforms. In this article, we will provide a Bayesian latent class joint modeling approach that can be routinely applied to identify bots and simultaneously estimate a model of interest. This method can be used to separate the bots' response patterns from real human response

SUBMITTER: Roman ZJ 

PROVIDER: S-EPMC9093679 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature