Bots, often programmed with artificial intelligence, are increasingly infiltrating online surveys and putting data validity at risk. This case illustrates how nurse researchers can use built-in features and manual scrutiny of survey data to prevent and detect bot responses.

Continuing Education Instructions and Disclosure Information:

Contact hours available until 9/30/2027.

Requirements for Successful Completion:
Complete the learning activity in its entirety and complete the online nursing continuing professional development evaluation. You will be able to print your NCPD certificate at any time after you complete the evaluation.

Disclosure of relevant financial relationships with ineligible companies (planners, faculty, reviewers, authors):

Faculty, Planners, and Reviewers Conflict of Interest Disclosure:
The editor, content reviewers, and director of education reported no actual or potential conflict of interest in relation to this continuing nursing education article.

Author(s) Disclosures:
There are no author disclosures to declare.

Commercial Support:
No commercial support declared.

Accreditation Statement:
This educational activity is jointly provided by Anthony J. Jannetti, Inc. (AJJ) and the American Nursing Informatics Association (ANIA).

Anthony J. Jannetti, Inc. is accredited as a provider of continuing nursing education by the American Nurses Credentialing Center’s Commission on Accreditation. Anthony J. Jannetti, Inc. is a provider approved by the California Board of Registered Nursing, provider number CEP 5387.

Learning Outcome:
After completing this education activity, the learner will be able to discuss the impact of bots on online survey research.

Allison A. Norful PhD, RN, ANP-BC, FAAN

Appearances