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

Recruitment of Research Participants (296) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23021, first published .
Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire

Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire

Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire

Authors of this article:

Rachel Pozzar1 Author Orcid Image ;   Marilyn J Hammer1 Author Orcid Image ;   Meghan Underhill-Blazey1, 2 Author Orcid Image ;   Alexi A Wright3 Author Orcid Image ;   James A Tulsky4 Author Orcid Image ;   Fangxin Hong5 Author Orcid Image ;   Daniel A Gundersen6 Author Orcid Image ;   Donna L Berry1, 7 Author Orcid Image
Article Authors Cited by (132) Tweetations (60) Metrics

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  122. Jean Louis R, Thompson L. Bots and fake participants: ensuring valid and reliable data collection using online participant recruitment methods. International Journal of Social Research Methodology 2024:1 View
  123. Parker J, Rager T, Burns J, Mmeje O. Data Verification and Respondent Validity for an Internet-based Sexual Health Survey: Tutorial (Preprint). JMIR Formative Research 2024 View
  124. Craig L, Evans C, Taylor B, Patterson J, Whitfield K, Hill M, Nwagwu M, Mubasher M, Bednarczyk R, McCray G, Gaddis C, Taylor N, Thompson E, Douglas U, Latimer S, Spivey S, Akintobi T, Quarells R. Challenges with the GEORGIA CEAL Survey Administration: Methods for addressing online survey fraud (Preprint). JMIR Public Health and Surveillance 2023 View
  125. Downey M, St. Jean B, Behre J, Raymond K, Liu B, Shi D. “We Don't Have a Lot of Answers”: An Investigation of COVID Long‐Haulers' Information Needs & Practices. Proceedings of the Association for Information Science and Technology 2024;61(1):899 View
  126. Galamiton N, Bacus S, Fuentes N, Ugang J, Villarosa R, Wenceslao C, Ocampo L. Predictive Modelling for Sensitive Social Media Contents Using Entropy-FlowSort and Artificial Neural Networks Initialized by Large Language Models. International Journal of Computational Intelligence Systems 2024;17(1) View
  127. Hardesty J, Crespi E, Sinamo J, Nian Q, Breland A, Eissenberg T, Kennedy R, Cohen J. From Doubt to Confidence: How We Overcame Fraudulent Survey Submissions from Bots and Other Survey Takers of a Web-based Survey (Preprint). Journal of Medical Internet Research 2024 View
  128. Ruby E, Ramlawi S, Bowie A, Boyd S, Dingwall-Harvey A, Rennicks White R, El-Chaâr D, Walker M. Identifying Fraudulent Responses in a Study Exploring Delivery Options for Pregnancies Impacted by Gestational Diabetes: Lessons Learned from a Web-Based Survey (Preprint). Journal of Medical Internet Research 2024 View
  129. 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

Books/Policy Documents

  1. Hazell C, Berry C. Supporting Research in Counselling and Psychotherapy. View