When Research Becomes All About the Bots: A Case Study on Fraud Prevention and Participant Validation in the Context of Abortion Storytelling

被引:3
作者
Krawczyk, Michaela [1 ]
Siek, Katie A. [1 ]
机构
[1] Indiana Univ, Bloomington, IN USA
来源
EXTENDED ABSTRACTS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2024 | 2024年
基金
美国国家科学基金会;
关键词
fraud; fraud prevention; digital survey; recruitment; asynchronous remote community;
D O I
10.1145/3613905.3637109
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Effective fraud prevention and participant validation are essential for ensuring data quality in today's highly-digitized research landscape. Increasingly sophisticated bots and high levels of fraudulent participants have generated a need for more complex and nuanced methods to combat fraudulent activity. In this paper, we share our experiences with fraudulent survey responses, which we encountered in our work around abortion storytelling, and the multi-stage protocol that we developed to validate participants. We found that effective fraud prevention should start early and include a variety of flagging methods to encourage holistic pattern-searching in data. Researchers should overestimate the amount of time they will need to validate participants and consider asking participants to assist in the validation process. We encourage researchers to be transparent about the interpretive nature of this work. To this end, we contribute a Participant Validation Guide in supplemental materials for community members to adapt in their own practices.
引用
收藏
页数:8
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