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

Journals

  1. Storozuk A, Ashley M, Delage V, Maloney E. Got Bots? Practical Recommendations to Protect Online Survey Data from Bot Attacks. The Quantitative Methods for Psychology 2020;16(5):472 View
  2. Reuter K, Rocca E. Correspondence on ‘Mining social media data to investigate patient perceptions regarding DMARD pharmacotherapy for rheumatoid arthritis’. Annals of the Rheumatic Diseases 2021:annrheumdis-2020-219776 View
  3. Vaterlaus J, Spruance L, Patten E. COVID-19 pandemic and social distancing in the United States: A mixed-methods study on lived experiences and well-being. The Social Science Journal 2021:1 View
  4. Zanville N, Cohen B, Gray T, Phillips J, Linder L, Starkweather A, Yeager K, Cooley M. The Oncology Nursing Society Rapid Review and Research Priorities for Cancer Care in the Context of COVID-19. Oncology Nursing Forum 2021;48(2):131 View
  5. Vaterlaus J, Shaffer T, Patten E, Spruance L. Parent–Child Relationships and the COVID-19 Pandemic: An Exploratory Qualitative Study with Parents in Early, Middle, and Late Adulthood. Journal of Adult Development 2021;28(3):251 View
  6. Bybee S, Cloyes K, Baucom B, Supiano K, Mooney K, Ellington L. Bots and nots: safeguarding online survey research with underrepresented and diverse populations. Psychology & Sexuality 2021:1 View
  7. Guest J, Adam E, Lucas I, Chandler C, Filipowicz R, Luisi N, Gravens L, Leung K, Chavanduka T, Bonar E, Bauermeister J, Stephenson R, Sullivan P. Methods in Authenticating Participants in Fully-online Youth Mobile Application Trials: Lessons from the iREACH Project (Preprint). JMIR mHealth and uHealth 2021 View
  8. Miller K, Kagramanov D, Cohen-Cutler S, Nadim B, Weng Z, Gallagher P, Kaslander J, Freyer D, Barzi A, Lenz H. Impacts of the SARS-CoV-2 Pandemic on Young Adult Colorectal Cancer Survivors. Journal of Adolescent and Young Adult Oncology 2021 View
  9. Heffner J, Watson N, Dahne J, Croghan I, Kelly M, McClure J, Bars M, Thrul J, Meier E. Recognizing and Preventing Participant Deception in Online Nicotine and Tobacco Research Studies: Suggested Tactics and a Call to Action. Nicotine & Tobacco Research 2021 View
  10. Pratt-Chapman M, Moses J, Arem H. Strategies for the Identification and Prevention of Survey Fraud: Data Analysis of a Web-Based Survey. JMIR Cancer 2021;7(3):e30730 View
  11. Wisk L, Buhr R. Rapid deployment of a community engagement study and educational trial via social media: implementation of the UC-COVID study. Trials 2021;22(1) View
  12. Miller K, Stal J, Gallagher P, Weng Z, Freyer D, Kaslander J, Marin P, Lenz H, Milam J, Govaerts L, Barzi A. Time from Diagnosis and Correlates of Health-Related Quality of Life among Young Adult Colorectal Cancer Survivors. Cancers 2021;13(16):4045 View
  13. Levi R, Ridberg R, Akers M, Seligman H. Survey Fraud and the Integrity of Web-Based Survey Research. American Journal of Health Promotion 2021:089011712110375 View