Version 1
: Received: 11 March 2022 / Approved: 17 March 2022 / Online: 17 March 2022 (04:02:29 CET)
Version 2
: Received: 11 April 2022 / Approved: 13 April 2022 / Online: 13 April 2022 (06:32:09 CEST)
How to cite:
Brainard, J.; Killett, A.; Houghton, J.; Bunn, D.; Watts, L.; Mumford, S.; O'Brien, S. J.; Lane, K. The Wasps are Clever: Keeping Out and Finding Bot Answers in Internet Surveys Used for Health Research. Preprints2022, 2022030243. https://doi.org/10.20944/preprints202203.0243.v2
Brainard, J.; Killett, A.; Houghton, J.; Bunn, D.; Watts, L.; Mumford, S.; O'Brien, S. J.; Lane, K. The Wasps are Clever: Keeping Out and Finding Bot Answers in Internet Surveys Used for Health Research. Preprints 2022, 2022030243. https://doi.org/10.20944/preprints202203.0243.v2
Brainard, J.; Killett, A.; Houghton, J.; Bunn, D.; Watts, L.; Mumford, S.; O'Brien, S. J.; Lane, K. The Wasps are Clever: Keeping Out and Finding Bot Answers in Internet Surveys Used for Health Research. Preprints2022, 2022030243. https://doi.org/10.20944/preprints202203.0243.v2
APA Style
Brainard, J., Killett, A., Houghton, J., Bunn, D., Watts, L., Mumford, S., O'Brien, S. J., & Lane, K. (2022). The Wasps are Clever: Keeping Out and Finding Bot Answers in Internet Surveys Used for Health Research. Preprints. https://doi.org/10.20944/preprints202203.0243.v2
Chicago/Turabian Style
Brainard, J., Sarah J. O'Brien and Kathleen Lane. 2022 "The Wasps are Clever: Keeping Out and Finding Bot Answers in Internet Surveys Used for Health Research" Preprints. https://doi.org/10.20944/preprints202203.0243.v2
Abstract
Automated software bots infiltrate online surveys and corrupt data integrity, not to mention waste researcher time and budgets. Although resources exist to help keep bots out and identify bots when they do evade survey barriers, bot attacks may be a persistent problem for online surveys for a long time to come. Bots are evolving -- even as survey designers try ever more sophisticated methods to fend them off and weed their answers out. Vigilance needs to be high and the bot generators should not be under-estimated. We recount here some bot features we encountered after our own survey was attacked that helped to identify them, and that have not been detailed elsewhere. We also discuss reasons why commonly recommended strategies for how to keep bots out may not be feasible for many scientific researchers.
Keywords
data analysis; surveys and questionnaires; internet; social class
Subject
Computer Science and Mathematics, Probability and Statistics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Commenter: Julii Brainard
Commenter's Conflict of Interests: Author