Understanding fraudulence in online qualitative studies: From the researcher's perspective.

Aswati Panicker, Novia Nurain, Zaidat Ibrahim, Chun Han (Ariel) Wang, Seung Wan Ha, Yuxing Wu,Kay Connelly,Katie A. Siek,Chia-Fang Chung

ACM Conference on Human Factors in Computing Systems(2024)

Cited 0|Views2
No score
Abstract
Researchers are increasingly facilitating qualitative research studies online. While this has made research more accessible for participation, there have been notable encounters with “fraudulent” participants. By fraudulent, we refer to individuals who are deceptive about meeting the inclusion criteria, their identity, or experiences. Fraudulent participants have generated new challenges for researchers who have to interact 1:1 with these individuals, face ethical dilemmas on appropriate next steps, diagnose and prevent the issue from happening again, and deal with their own identity as a scholar. In this study, we interview 16 HCI researchers to understand and learn from their experiences. We contribute: (1) an understanding of how HCI qualitative researchers deal with fraudulent participants; (2) a guide for qualitative HCI researchers on how to handle fraudulence; and (3) a reflection on how the HCI research community might better improve our science and training efforts.
More
Translated text
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined