Unsupervised [randomly responding] survey bot detection: In search of high classification accuracy

Abstract excerpt

<p>While online survey data collection has become popular in the social sciences, there is a risk of data contamination by computer-generated random responses (i.e., bots). Bot prevalence poses a significant threat to data quality. If deterrence efforts fail or were not set up in advance, researchers can still attempt to detect bots already present in the data. In this research, we study a recently developed algor...

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• Alcoholism
• BRCA gene mutations in cancer
• Ethics in Clinical Research
• Genetic Predisposition to Disease
• Genomics and Rare Diseases
• Indians, North American
• United States

Identifiers and source

Literature Corpus work

ededb027-7aca-53bd-aeef-f3a246d90d70

DOI

10.31234/osf.io/4nmxh_v2