Unmasking survey fraud
Investigating data quality issues in an MTurk sample
Bibliographic Data
| ID | 12595282 |
|---|---|
| Authors | Marissa N Maline (0009-0008-5981-4929, University of California, corresponding author), Andrea N Polonijo (0000-0003-4706-3482, University of California) |
| Year | 2025 |
| Pages | 1-8 |
| Publication date | 2025-12-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Social Research Methodology (JOURNAL) |
| Journal identifiers | ISSN: 1364-5579 • E-ISSN: 1464-5300 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/13645579.2025.2601994 |
| OpenAlex | W4417153910 |
| Language | EN |
| Citations received | 1 |
| References cited | 17 |
Data collection · Data quality · Quality (philosophy · Research methodology · Sample (material · Survey data collection · Survey research · Survey sampling · Census and Population Estimation · Data Quality and Management · Survey Methodology and Nonresponse
Data quality in online human-subjects research
A Convenient Solution
An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise, and Its Effective Use
MTurk Research
Evaluating CloudResearch’s Approved Group as a solution for problematic data quality on MTurk
Too Good to Be True
Too Anecdotal to Be True? Mechanical Turk Is Not All Bots and Bad Data
An MTurk Crisis? Shifts in Data Quality and the Impact on Study Results
An Analysis of Data Quality
Traditional and Modern Convenience Samples
The micro-task market for lemons
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |