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

要旨

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.

著者
Aswati Panicker
Indiana University Bloomington, Bloomington, Indiana, United States
Novia Nurain
Indiana University, Bloomington, Indiana, United States
Zaidat Ibrahim
Indiana University, Bloomington, Indiana, United States
Chun-Han Ariel Wang
University of California, Santa Cruz, Santa Cruz, California, United States
Seung Wan Ha
University of California, Santa Cruz, Santa Cruz, California, United States
Yuxing Wu
Indiana University, Bloomington, Indiana, United States
Kay Connelly
Michigan State University, East Lansing, Michigan, United States
Katie A.. Siek
Indiana University, Bloomington, Indiana, United States
Chia-Fang Chung
University of California, Santa Cruz, Santa Cruz, California, United States
論文URL

https://doi.org/10.1145/3613904.3642732

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Research Methods and Tools B

315
5 件の発表
2024-05-14 01:00:00
2024-05-14 02:20:00