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

Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (916) Participatory Epidemiology and Surveillance (123) Clinical Communication, Electronic Consultation and Telehealth (682) mHealth for Data Collection and Research (1084) Artificial Intelligence (1748) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (58)

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
Article Authors Cited by (15) Tweetations (31) Metrics

Journals

  1. Oldham M, Dinu L, Loebenberg G, Field M, Hickman M, Michie S, Brown J, Garnett C. Methodological Insights on Recruitment and Retention From a Remote Randomized Controlled Trial Examining the Effectiveness of an Alcohol Reduction App: Descriptive Analysis Study. JMIR Formative Research 2024;8:e51839 View
  2. Oldham M, Beard E, Loebenberg G, Dinu L, Angus C, Burton R, Field M, Greaves F, Hickman M, Kaner E, Michie S, Munafò M, Pizzo E, Brown J, Garnett C. Effectiveness of a smartphone app (Drink Less) versus usual digital care for reducing alcohol consumption among increasing-and-higher-risk adult drinkers in the UK: a two-arm, parallel-group, double-blind, randomised controlled trial. eClinicalMedicine 2024;70:102534 View
  3. Donkin L, Henry N, Kercher A, Pedersen M, Wilson H, Chan A. Effective Recruitment or Bot Attack? The Challenge of Internet-Based Research Surveys and Recommendations to Reduce Risk and Improve Robustness. Interactive Journal of Medical Research 2025;14:e60548 View
  4. Norberg M, Matheson A, Visvalingam S, King R, Olivier J, David J, McLellan L. Breaking up with belongings: a pilot randomized controlled trial of an unguided web-based program to reduce overconsumption. Current Psychology 2024;43(40):31568 View
  5. Hanson K, Marshall G, Graham M, Villarreal D, Volpe L, Seguin-Fowler R. Identifying and Removing Fraudulent Attempts to Enroll in a Human Health Improvement Intervention Trial in Rural Communities. Methods and Protocols 2024;7(6):93 View
  6. Carey M, McLean K, Chvasta K, de Marchena A, Roux A. Methods to reduce fraudulent participation and highlight autistic voices in research. Autism 2025;29(4):859 View
  7. Caselli A, Beauparlant E. Promoting healthy sexual relationships: The benefits of perspective‐taking and self‐expansion in interracial relationships. Personal Relationships 2025;32(1) View
  8. Comachio J, Poulsen A, Bamgboje-Ayodele A, Tan A, Ayre J, Raeside R, Roy R, O’Hagan E. Identifying and counteracting fraudulent responses in online recruitment for health research: a scoping review. BMJ Evidence-Based Medicine 2025;30(3):173 View
  9. Beto J, Gleason P, Harris J, Metallinos-Katsaras E. Electronic Survey Methodology for Data Collection and Analysis in Nutrition and Dietetics Research. Journal of the Academy of Nutrition and Dietetics 2025;125(5):603 View
  10. Richey M, Wilson C, Jia M, Galbraith T. Evaluation of the Florida Newborn Screening Program Education Campaign. International Journal of Neonatal Screening 2025;11(1):20 View
  11. MacKinnon K, Khan N, Newman K, Gould W, Marshall G, Salway T, Pullen Sansfaçon A, Kia H, Lam J. Introducing Novel Methods to Identify Fraudulent Responses (Sampling With Sisyphus): Web-Based LGBTQ2S+ Mixed-Methods Study. Journal of Medical Internet Research 2025;27:e63252 View
  12. Elenio E, Tovar A, San Soucie J, Vadiveloo M. Population Recruitment Strategies in the Age of Bots: Insights from the What Is on Your Plate Study. Current Developments in Nutrition 2025;9(5):107442 View
  13. Berger M, Mathieu E, Davies C, Shaban R, Bag S, Skinner S. Bot invasion: protecting the integrity of online surveys against spamming. Epidemiologic Methods 2025;14(1) View
  14. Fan J, Brown J, Cox S, Shahab L, Jackson S. Level of support for proposed vaping policies: an online survey of UK vapers, 2024. International Journal of Drug Policy 2025;142:104839 View

Conference Proceedings

  1. C. Samonte M, Callejo J, N. Lumbera D, B. Ocaya J. 2024 14th International Conference on Software Technology and Engineering (ICSTE). Mitigating Vishing in Digital Banking Through Caller Authentication and Verification Technologies View