Articlehybrid2023

Battling bots: Experiences and strategies to mitigate fraudulent responses in online surveys

Brittney K. Goodrich · Marieke Fenton · Jerrod Penn · John Bovay · Travis P. Mountain

153 citations0/0 files storedApplied Economic Perspectives and Policy

No readable copy stored yet — this record is metadata only.

Survey Methodology and Nonresponse Spam and Phishing Detection Mobile Crowdsensing and Crowdsourcing

Abstract

Abstract Declining survey response rates have driven many researchers to seek out cost‐effective methods of increasing participation, such as conducting surveys online, paying incentives, and using social media to engage hard‐to‐reach populations. Malicious actors can exploit the monetary incentives and anonymity of online surveys, threatening the integrity of survey data. We share two recent experiences conducting online surveys that were inundated with fraudulent responses. Our objective is to increase awareness of this emerging issue and offer guidance for others to mitigate the effects of fraudulent responders in their own research.

Citations in this library

Stored only when both papers are in the corpus — 153 citations exist upstream.

References

2014Internet, Phone, Mail, and Mixed‐Mode Surveys 2012Identifying careless responses in survey data.2001Web Surveys 2015Household Surveys in Crisis 2015Detecting, Preventing, and Responding to “Fraudsters” in Internet Research: Ethics and Tradeoffs 2020Got Bots? Practical Recommendations to Protect Online Survey Data from Bot Attacks 2020Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire 2021Ensuring survey research data integrity in the era of internet bots

Imported from OpenAlex (CC0) — nothing here is generated.