Battling the bots: Mitigating malicious responses in oncology nursing research
Abstract
Nursing research is vital to the creation and translation of evidence to inform practice, policy and guidelines. As researchers, we are also committed to upholding the integrity of nursing research, as well as supporting our research colleagues. In this spirit, we share our recent survey experience and thinking about a new threat to research integrity with troubling implications.
Full Text:
PDFReferences
Amazon (n.d.). Getting started with surveys on MTurk. https://blog.mturk.com/getting-started-with-surveys-on-mturk-e2eea524c73
Amazon Mechanical Turk – Mturk (n.d.). Access a global, on-demand, 24x7 workforce. https://www.mturk.com/
Goodrich, B., Fenton, M., Penn, J., Bovay, J. & Mountain, T. (2023). Battling bots: Experiences and strategies to mitigate fraudulent responses in online surveys. Applied Economic Perspectives and Policy, 45(2), 762–784. https://doi.org/10.1002/aepp.13353
Haverkamp, A., Johnson, F., Bothwell, M., Driskill, Q., & Montfort, D. (2023). Attack helicopters and white supremacy: Interpreting malicious responses to an online questionnaire about transgender undergraduate engineering and computer science student experiences. Bulletin of Applied Transgender Studies, 2(1-2), 67-94. https://doi.org/10.57814/qd1y-9b22
IBM (n.d.). What is a chatbot? https://www.ibm.com/topics/chatbots
Prolific (n.d.). How to improve your data quality from online research. https://www.prolific.com/resources/how-to-improve-your-data-quality
Storozuk, A., Ashley, M., Delage, V., Maloney, E. (2020) Got bots? Practical recommendations to protect online survey data from bot attacks. The Quantitative Methods for Psychology, 16(5), 472-481. https://doi.org/10.20982/tqmp.16.5.p472
SurveyMonkey (n.d.). How can you outsmart a bot survey respondent? Here’s what we learned from building one ourselves. https://www.surveymonkey.com/curiosity/outsmart-bot-survey-respondent/
Refbacks
- There are currently no refbacks.