This paper is in the following e-collection/theme issue:

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Participatory Epidemiology and Surveillance (119) Clinical Communication, Electronic Consultation and Telehealth (590) mHealth for Data Collection and Research (955) Artificial Intelligence (1371) Artificial Intelligence (86) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (36)

Published on in Vol 25 (2023)

This is a member publication of University College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46523, first published .
Bot or Not? Detecting and Managing Participant Deception When Conducting Digital Research Remotely: Case Study of a Randomized Controlled Trial

Bot or Not? Detecting and Managing Participant Deception When Conducting Digital Research Remotely: Case Study of a Randomized Controlled Trial

Bot or Not? Detecting and Managing Participant Deception When Conducting Digital Research Remotely: Case Study of a Randomized Controlled Trial

Authors of this article:

Gemma Loebenberg1 Author Orcid Image ;   Melissa Oldham1 Author Orcid Image ;   Jamie Brown1 Author Orcid Image ;   Larisa Dinu1 Author Orcid Image ;   Susan Michie2 Author Orcid Image ;   Matt Field3 Author Orcid Image ;   Felix Greaves4 Author Orcid Image ;   Claire Garnett1 Author Orcid Image
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